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Senior Data Engineer<h4>Job Description Summary</h4>Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed. Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.<h4>Job Description</h4>Roles and ResponsibilitiesIn this role, you will:- Design and build automations and incorporate low code-no code solutions to accelerate development cycle time. - Leverage technical data dictionaries and business glossaries to analyze the datasets. - Perform data profiling and data analysis for any source systems and the target data repositories. - Understand metadata and the underlying data structures needed to standardize the data load processes. - Develop data mapping specifications based on the results of data analysis and functional requirements - Perform a variety of data loads &amp; data transformations using multiple tools and technologies. - Build automated Extract, Transform &amp; Load (ETL) jobs based on data mapping specifications. - Validate the data mapping results and match with the expected results. - Leverage/Implement Data Quality (DQ) rules provided.Education Qualification:Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience.Desired Characteristics Technical Expertise: - Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management &amp; data lineage techniques.- Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis. - Hands-on experience in programming languages like Python. Unix - Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL. - Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models. - Experience with data warehousing, Big Data. NRT - Kafka. - Exposure to unstructured datasets and ability to handle XML, JSON file formats - Exposure to Extract, Transform &amp; Load (ETL) tools like Matillion Or Informatica.-Exposure or experience in Databricks.- Experience using 'Low code, No code' tools like Microsoft/Github co-pilot. Domain Expertise: - Exposure to handling enterprise ERP and CRM data. - Knowledge of for industrial applications in a commercial/finance/manufacturing settings. - Exposure to finance and accounting data domains. Leadership skills: - Partner with other team members to understand the project objectives and resolve technical issues. - Communicate project status or challenges in a clear and concise manner to the cross team members.- Ability to drive technical solutions to meet business outcomes.<h4>Additional Information</h4>Relocation Assistance Provided: No<h4>Experience Level</h4>Senior Level

GE Healthcare Private Limited

Data Engineer

IN_Senior Associate_MDM Developer _D&A _Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· Responsible for End-to-End Development Activities in Informatica MDM. · Experience in developing multidomain MDM solutions. · Expertise in working with Banking industry Master Data. · Proficient in Informatica MDM configurations – Data Modeling, User Group &amp; Privilege Setup, Hierarchy Management, Workflow Setup, etc. · Reference Data Management in Informatica MDM. · Expertise in Data Quality (DQ) rules, Match and Merge strategies, Golden Records Survivorship Rules, and Match Tuning. · Ability to configure the Informatica MDM User Interface using Provisioning Tool. · Good knowledge of Integration Endpoints (Outbound and Inbound integration endpoints using SOAP, REST, and other upstream/downstream systems). · Extend support to Data Stewards to improve business processes. · Assist in MDM support activities. · Implement and support data loading to the Informatica MDM application. · Customize MDM solutions, creating master data management solutions using agile methodologies. · Strong understanding of MDM concepts such as Integration Patterns, Trust, Survivorship, Publishing, and Change Data Capture (CDC). · Capable of working on new developments by understanding the data model, making changes to the repository as needed, onboarding source data, DQ configurations, and enrichment in MDM.Mandatory skill sets:· Data Modeling, User Group &amp; Privilege Setup, Hierarchy Management, Workflow Setup, Data QualityPreferred skill sets:· Exposure to other MDM tools, such as IBM MDM, Reltio, or STIBO.· Experience working with business, technology, and process workstreams for master data identification, definition, MDM requirements, architecture patterns, and setting up MDM platforms across the organization. · Understanding of business domains, data definitions, technical and operational metadata, with the ability to document and maintain a data dictionary and data quality definitions at both concept and data element levels. · Certification in Informatica MDM or other MDM tools is a plus. · Good knowledge of industries such as BFSI, Life Sciences, or Manufacturing, and related products is preferredYears of experience required:4 - 7 yrsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ModelingOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Developer

SENIOR, DATA SCIENTIST<h4>Position Summary...</h4><h4>What you'll do...</h4>About Team International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations &amp; our associates, helping Customers Save Money to Live Better.  Your Opportunity As an Senior Data Scientist for Walmart Global Tech, you’ll have the opportunity to  <ul><li>Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives  </li></ul><ul><li>Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals  </li></ul><ul><li>Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights </li></ul><ul><li>Build and train statistical models and machine learning algorithms for replication for future projects </li></ul><ul><li>Communicate recommendations to business partners and influencing future plans based on insights </li></ul>What You Will Do <ul><li>Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data </li></ul><ul><li>Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping </li></ul><ul><li>Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems </li></ul><ul><li>Lead small teams and participate in data science project teams by serving as the technical lead for project </li></ul><ul><li>Partner with senior team members to assess customer needs and define business questions </li></ul><ul><li>Clearly articulate and present recommendations to business partners, and influence future plans based on insights </li></ul><ul><li>Partner and engage with associates in other regions for delivering best services to the customers around the globe </li></ul><ul><li>Work with customer centric mindset to deliver high quality business driven analytic solution </li></ul><ul><li>Mentor peers and analysts across the division in analytical best practices </li></ul><ul><li>Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving </li></ul><ul><li>Promote and support company policies, procedures, mission, values, and standards of ethics and integrity </li></ul>Our Ideal Candidate You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space. What You will Bring <ul><li>Bachelor's with &gt; 7 years of relevant experience OR Masters with &gt; 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with &gt; 3 years of relevant experience </li></ul><ul><li>Experience in Analyzing the Complex Problems and translate it into data science algorithms </li></ul><ul><li>Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms </li></ul><ul><li>Experience in statistical learning: Predictive &amp; Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling </li></ul><ul><li>Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data </li></ul><ul><li>Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.  </li></ul><ul><li>Lead role mentoring multiple Jr. Analysts on approach and results.                                      </li></ul><ul><li>Strong Experience in Python, PySpark </li></ul><ul><li>Google Cloud platform ,Vertex AI, Kubeflow, model deployment </li></ul><ul><li>Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala) </li></ul> Additional Preferred Qualifications: <ul><li>Domain Knowledge of one or more divisions in Retail </li></ul><ul><li>Published papers or given talks in leading academic and research journals </li></ul><ul><li>Published papers or given talks in Data Science Forums </li></ul><ul><li>Hold data science related patents </li></ul><ul><li>Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark </li></ul><ul><li>Experience in deep learning and worked in TensorFlow and Torch </li></ul><ul><li>Experience with GPU/CUDA for computational efficiency </li></ul>About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.BenefitsBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.BelongingWe aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.Equal Opportunity EmployerWalmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people<h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

Walmart India Pvt Ltd

Data Scientist

Staff, Data Scientist<h4>Position Summary...</h4><h4>What you'll do...</h4>About TeamThis is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return ; refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data ; AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions. What you'll do: As a Staff Data Scientist responsible for building scalable end-to-end data science solutions for our data products.<ul><li>Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows</li><li>Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data</li><li>Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management</li><li>Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.</li><li>Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation</li><li>Promoteand support company policies, procedures, mission, values, and standards of ethics and integrity.</li></ul>What you'll bring: Preferredqualifications:<ul><li>Knowledge of the foundations of machine learning and statistics</li><li>Solid Experience working on Gen AI Techstack and building Gen AI powered solutions in production</li><li>Experience withweb service standards and related patterns (REST,gRPC)</li><li>Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind</li><li>Familiar with distributed in-memory computing technologies</li><li>Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems</li><li>Strong Python coding and package development skills</li><li>Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce;Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.</li><li>Able to refactordata science code andhas collaborated with data scientists in developing ML solutions.</li><li>Experience playing the role of full-stack data scientist and taking solutions to production.</li><li>Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.</li><li>Educational qualifications should be preferably in Computer Science, Statistics,Engineeringor a related area.</li><li>Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear ; concise way, to different audiences. Ateam player with good work ethics</li><li>Preferred prior experience in Retail, Risk and Fraud Detection</li><li>Require mandatory hands on experience in working in Spark or other comparable distributed computing frameworks</li></ul>About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.<h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

TTT - Data Science - StaffAt EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.     TAX TECHNOLOGY TRANSFORMATION – Data Science -StaffEY GDS’s Tax Innovation, Solutions and Technology (IST) group as well as the Tax Tech Transformation (TTT) team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.  Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.  The opportunityEY's GDS IST and TTT team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.  GDS IST and TTT team works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. EY is currently seeking Staff to join our Tax Technology practice. Your key responsibilities<ul><li>Apply machine learning techniques to deliver actionable insights</li><li>End to end coding using Python, R</li><li>Responsible for model development - manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends</li><li>Build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems</li><li>Apply standard statistical methods, simulation models and statistical programming as needed</li></ul> Skills and attributes for success<ul><li>An overall  2 + years of hands-on work experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, deep learning, MS Azure Cognitive Service, regression, decision tree, random forest, classification and clustering, natural language processing (NLP).</li><li>Expertise in programming languages such as Python</li><li>Strong - programming skills, algorithm development and database management systems</li><li>ML projects experience</li></ul> To qualify for the role, you must haveMaster’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA.In AI/ML, you will be involved in development, testing and deployment of AI/ML solutions.Good to have<ul><li>Exposure to cloud (Azure, AWS) would be good to have.</li><li>Strong verbal and written communication skills.</li></ul> What we look forA Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environmentAn opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.Opportunities to work with EY TAS practices globally with leading businesses across a range of industries What we offerEY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.<ul><li>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.</li><li>Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.</li><li>Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.</li><li>Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.</li></ul>  EY | Building a better working world   EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

Analytics Solutions- AssociateYou are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right teamAs an Analytics Solutions Associate within the JPMorgan Chase Consumer &amp; Community Banking (CCB) Finance organization, you will support SEC and Regulatory Reporting for the Consumer &amp; Community Banking line of business.Job Responsibilities:<ul><li>Developing SQL queries to extract data from databases.</li><li>Using Alteryx to clean, transform, and analyze data from various sources. </li><li>Building Tableau dashboards and reports to visualize and present data insights; ensure operating model in place and migration of dashboards or other solutions to production.</li><li>Optimize Tableau workbooks and dashboards for performance, ensuring fast load times and efficient use of system resources.</li><li>Document data sources, data models, and dashboard designs to ensure transparency and maintainability.</li><li>Understanding of various SEC and Regulatory reporting forms and build Analytics around them.</li><li>Communicating effectively with stakeholders to understand their data needs and provide solutions accordingly.</li><li>Guide team members, fostering a culture of continuous learning and improvement.</li><li>Lead the design and implementation of data architecture and data governance frameworks.</li><li>Stay updated with the latest industry trends and technologies to ensure the team is leveraging the best tools and practices.</li></ul>Required qualifications, capabilities, and skills:<ul><li>7+ years of work experience with B. Tech/MSc in CS required (or similar degree). </li><li>5+ years in data visualization, data management, data warehousing, or unstructured data environments. </li><li>Experience developing dashboards or data flows using tools like Tableau, Alteryx, and/or similar tools. </li><li>Advanced SQL / Data warehousing concepts. </li><li>Excellent communication skills. </li><li>Proven track record of leading complex data projects from inception to completion. </li><li>Strong problem-solving skills and the ability to think critically and strategically. </li><li>Experience with cloud platforms such as AWS, Azure, or Google Cloud. </li><li>Proficiency in programming languages such as Python or R for data analysis and automation. </li><li>Experience with big data technologies like Hadoop, Spark, or similar. </li><li>Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.</li></ul>Preferred qualifications, capabilities, and skills <ul><li>Certifications in data visualization tools (e.g., Tableau Desktop Specialist, Alteryx Designer Core). </li><li>Experience with machine learning and AI-driven data analytics. </li><li>Knowledge of data privacy regulations and best practices for data security.  Experience with Agile methodologies and tools like JIRA or Confluence.</li><li>Experience with Banking Domain and/or Financial or Regulatory reporting preferred. </li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Business Intelligence Support Specialist

Data Scientist (SuccessFactors HCM) (perplexity, BLEU, ROUGE, accuracy, F1, calibration)We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.    Job Title: Data ScientistJob Location: Bangalore Noth (Devanahalli)What You’ll DoBe part of the engineering team located in Bengaluru (Devanhalli office) and work in a highly motivated Scrum team. You work as a Data Scientist in an agile development team according to the agile Scrum methodology.<ul><li>Prototype agents that can reason, plan, and take actions across tools and APIs.</li><li>Develop memory and context strategies for long-running or multi-step tasks.</li><li>Measure agent performance in terms of task success, efficiency, and trustworthiness.</li><li>Design structured prompts, templates, and orchestration flows (e.g., POML or LangChain).</li><li>Work with advanced RAG systems</li><li>Work on Knowledge Graph Initiatives</li><li>Hallunication reduction using the techniques like GraphRAG</li><li>Test robustness against edge cases, hallucinations, or prompt injections.</li><li>Automate prompt evaluation and optimization with metrics &amp; A/B testing.</li><li>Run experiments to measure user outcomes, engagement, and productivity gains.</li><li>Define KPIs for GenAI applications (accuracy, latency, business impact).</li><li>Use causal inference or reinforcement learning to optimize agent behavior.</li><li>Partner with engineers on scalable deployment (APIs, microservices, vector DBs).</li><li>Work with product managers to align AI capabilities with business workflows.</li><li>Educate stakeholders on what’s feasible, safe, and valuable with AI.</li></ul> What You Bring <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. E Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field</li><li>4+ years of experience for Data Scientist in machine or AI research (industry, research lab, or advanced academic projects)</li><li>Strong background in machine learning, deep learning, data mining, and/or optimization</li><li>Experience in model Evaluation &amp; metrics – perplexity, BLEU, ROUGE, accuracy, F1, calibration, human-in-the-loop evaluation for generative outputs.</li><li>Experience or strong understanding of fine-tuning methods –LoRA, prompt-tuning, retrieval-augmented generation (RAG).</li><li>Prompt Engineering – structured prompting, few-shot, chain-of-thought, self-consistency</li><li>Safety &amp; Alignment – guardrails (Guardrails.ai, Guidance, Pydantic), monitoring for harmful behaviors.</li><li>Evaluation of Agents and generative AI apps – task success rates, latency, cost/efficiency tracking.</li><li>Savvy with AI assisted code assist tools</li><li>Write production-grade Java/Python code</li><li>Work in a forward deployed engineering model for innovation projects</li><li>High quality, service and customer-oriented working attitude.</li></ul>  Meet Your Team SAP SuccessFactors Human Capital Management (HCM) empowers businesses to connect with their employees and inspire purpose-driven performance. Our mission is to help every customer deliver the employee experiences people truly want. You’ll join a seasoned team of cloud-native Java developers and data scientists at SuccessFactors, working at the forefront of innovation to build next-generation generative AI-powered applications.#DevT2 Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 435743  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid <h4>Experience Level</h4>Mid Level

Sap India Private Limited

Data Scientist (4 to 7 years)We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.   What you’ll Do•   You will work with a team of highly technical and motivated developers<ul><li>Collaborate and work with teams spread across geographies and time zones</li><li>You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions</li><li>Implement backlogs for functional and non-functional requirements</li><li>Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications</li><li>Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support</li><li>You will work on multiple topics and technologies with adequate enablement</li></ul> What you bringEducational Qualification<ul type="disc"><li>Bachelors/Master’s degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation</li></ul> Work Experience<ul type="disc"><li>4+ years of industry experience in a data scientist role</li></ul> Skills and Competencies: <ul type="disc"><li>Extensive knowledge of various machine learning algorithms and concepts used to build predictive models</li><li>Develop and deploy applications based on Large Language Models (LLM) and Gen AI based products</li><li>Apply prompt engineering, fine-tuning, and RAG techniques to improve model accuracy and reliability</li><li>Design and implement AI pipelines (data ingestion, embeddings, vector databases, knowledge retrieval)</li><li>Collaborate with backend and frontend engineers to build production-ready APIs and interfaces</li><li>Implement guardrails, safety mechanisms, and bias detection to ensure responsible AI usage</li><li>Understanding of Agent development and frameworks like Lang graph</li><li>Understanding of Basic UI development in Python</li><li>In-depth knowledge in the following data science domains:</li><ul type="circle"><li>Text Analysis and Natural Language Processing</li><li>Neural Networks and Deep Learning</li></ul><li>Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools</li><li>Software engineering experience of AI related projects, using advanced techniques like vector databases, LLMs, and NLPs</li><li>Prior experience in deploying machine learning models into production</li><li>Experience in working with GPUs to develop models</li><li>Possess strong interpersonal and stakeholder management skills</li><li>Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format</li><li>Strong written and verbal communication skills</li><li>Demonstrated the ability to independently develop new concepts and stay current with academic research</li></ul> Expectations and Tasks:<ul type="disc"><li>Conceptualize, design, and deliver high quality solutions and insightful analysis</li><li>Work on gathering data and requirements, participate in solution scoping and architecture, research, and prototyping innovative models</li><li>Build solutions by exploring data, building &amp; validating models and deploying them to deliver maximum business impact</li><li>Interact with both - internal and external stakeholders</li><li>Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team</li><li>Be up to date with latest and best practices in delivering enterprise grade data science solutions</li><li>Build credibility and trust with customers and project teams during project executio</li></ul>  Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 436297  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid <h4>Experience Level</h4>Senior Level

Director, Data ScienceOverview:We are seeking a Director of Data Science to lead and innovate within our data science organization. This role will drive thought leadership, customer engagement, and cutting-edge AI/ML solutions while collaborating with cross-functional teams to deliver measurable business impact. The ideal candidate will have a strong background in data science, supply chain expertise, and a passion for solving complex problems through innovative approaches. What You’ll Do:Roadmap Input &amp; New Data Science Approaches (10%)<ul><li>Provide strategic input into the data science roadmap to align with Blue Yonder’s long-term goals.</li><li>Explore and implement new data science methodologies and generative AI techniques to enhance product offerings.</li></ul>Thought Leadership Collateral (20%)<ul><li>Develop whitepapers, case studies, and presentations showcasing Blue Yonder’s data science capabilities.</li><li>Represent Blue Yonder at conferences, webinars, and industry events to establish thought leadership in AI/ML for supply chain management.</li></ul>Sales, Customer Retention &amp; Proof of Concepts (POCs) (30%)<ul><li>Partner with sales teams to demonstrate the value of Blue Yonder’s solutions to prospective clients through POCs and technical deep dives.</li><li>Collaborate with customers to ensure retention by delivering impactful AI/ML-driven insights and solutions tailored to their needs.</li><li>Act as a trusted advisor for customers, ensuring alignment between their business objectives and our data science strategies.</li></ul>Data Science Projects (50%)<ul><li>Will play a player-coach role, code when needed and lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives.</li><li>Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for customers.</li><li>Mentor and guide a team of data scientists to achieve technical excellence and foster innovation.</li></ul>What we are looking for:<ul><li>Education: PhD in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required.</li><li>Experience: 18+ years of proven experience in applying machine learning, deep learning, and data analysis within the supply chain domain.</li><li>Technical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming.</li><li>Customer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes.</li><li>Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences.</li><li>Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously.</li></ul>Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: <a href="https://blueyonder.com/about/core-values" rel="noopener noreferrer" target="_blank">Core Values</a>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.<h4>Experience Level</h4>Executive Level

Blue Yonder Pvt Ltd

Sr. Analytics EngineerScope:<ul><li>We are seeking an experienced Senior Analytics Engineer to join our data team and drive the design, implementation, and maintenance of our data architecture and semantic layers. This role combines deep technical expertise in data modeling with strategic thinking about how data can best serve our organization's analytical needs. The ideal candidate will have extensive experience with modern data stack technologies and a proven track record of building scalable, AI-ready data architectures.</li></ul>Our Current Technical Environment:<ul><li>Data Architecture: Deep knowledge of dimensional modeling principles and Kimball methodology</li><li>SQL: Expert-level SQL skills with ability to write complex queries and optimize performance</li><li>Cloud Platforms: Extensive experience with Databricks or Snowflake (experience with both preferred)</li><li>Semantic Layers: Strong understanding of semantic layer concepts and architectures; hands-on experience highly preferred</li><li>Documentation: Proven ability and willingness to create and maintain technical documentation</li></ul>What you’ll do:<ul><li>Data Architecture &amp; Modeling</li><li>Design and implement dimensional data models following Kimball methodology and best practices</li><li>Plan, create, and execute comprehensive data architecture strategies that support both current and future analytical needs</li><li>Build and maintain robust semantic layers that enable self-service, BI and analytics, and AI across the organization</li><li>Ensure data architectures are optimized for AI and machine learning applications</li><li>Technical Implementation:</li><li>Develop and maintain complex SQL queries, data pipelines, and data transformations using Databricks notebooks and workflows</li><li>Work extensively with Databricks platform to build scalable data solutions, including Delta Lake, Unity Catalog, and Databricks SQL</li><li>Utilize Python for data processing, automation, and advanced analytics workflows within Databricks environments</li><li>Implement data quality checks and monitoring systems using Databricks pipelines</li><li>Documentation &amp; Governance:</li><li>Create and maintain comprehensive documentation for data models, semantic layers, and architectural decisions</li><li>Establish and enforce data governance standards and best practices</li><li>Work directly with business stakeholders and BI developers to design data architectures that meet analytical and reporting needs</li><li>Collaborate cross-functionally to ensure data architecture aligns with business requirements and technical constraints</li><li>Strategic Planning &amp; Execution:</li><li>Lead cross-functional projects to deliver data solutions that drive business value</li><li>Mentor junior team members and contribute to the growth of the data engineering practice</li><li>Stay current with emerging technologies and industry best practices in data architecture</li></ul>What we are looking for:<ul><li>Experienced 9+ years of professional with 5+ years of experience in analytics engineering, data engineering, or related field</li><li>Proven track record of designing and implementing data architectures at scale</li><li>Experience planning and executing complex data projects from conception to delivery</li><li>Strong understanding of data warehouse design patterns and best practices</li><li>Programming: Python experience for data processing and automation</li><li>AI/ML Architecture: Experience designing data architectures optimized for AI and machine learning workloads (significant advantage)</li><li>Semantic Layer Tools: Hands-on experience with semantic layer tools (huge advantage) - priority on AtScale, but experience with any semantic layer tool such as Cube, MetricFlow, LookML, Tableau Semantic Layer, or PowerBI Semantic Model highly valued</li><li>Modern Data Stack: Familiarity with additional tools in the modern data ecosystem (dbt, Fivetran, Looker, etc.)</li><li>Industry Experience: Previous experience in [relevant industry if applicable]</li><li>Location: India-based role with ability to work evening hours (IST) to ensure overlap with US-based teams</li><li>Communication: Excellent written and verbal communication skills in English - ability to clearly articulate technical concepts to both technical and business stakeholders</li><li>Collaboration: Experience working effectively in distributed, cross-timezone teams</li></ul>Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: <a href="https://blueyonder.com/about/core-values" rel="noopener noreferrer" target="_blank">Core Values</a>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.<h4>Experience Level</h4>Senior Level

Business Intelligence Engineer

Senior Analytics SpecialistAbout the Team: In this role, you will be part of the GDM Analytics team, with responsibility to support all efforts to enhance our team's sales data analytics capabilities. You will be required to coordinate our efforts and actions with the nine market units. Keeping constant client and broker focus with particular emphasis on our growth initiatives and sales campaigns will be important. About Role: Minimum qualifications:<ul><li>Bachelor's, Master’s or PHD in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field.</li><li>At least 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).</li><li>Commercial Insurance experience would be a plus.</li></ul> Job Requirements:<ul><li>Work with stakeholders throughout the GDM organization to identify opportunities for leveraging data to drive business solutions.</li><li>Mine and analyze data from Sales Analytics databases to drive efficiency improvements and meet growth objectives.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Develop and automate reports, iteratively build dashboards to provide insights at scale, solving for business priorities.</li><li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li><li>Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies</li><li>Stay up to date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.</li><li>Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information. Manage stakeholders, solicit ideas, prioritize, and manage expectations.</li></ul>  About You:  <ul><li>Strong problem-solving skills with an emphasis on solution development.</li><li>Experience with analysis applications (e.g., extracting insights, performing exploratory data analysis, or solving business problems), and coding (e.g., Python, R, SQL) to manipulate data and draw insights from large datasets.</li><li>Proficiency in machine learning libraries and frameworks such as TensorFlow, PySpark, scikit-learn.</li><li>Experience with data preprocessing, feature engineering, and data wrangling techniques.</li><li>Solid understanding of probability concepts, statistical analysis, hypothesis testing, and experimental design.</li><li>Experience with Large Language and other Machine Learning models to analyze structured and unstructured data (e.g., for Natural Language Processing).</li><li>Knowledge of a variety of machine learning techniques (clustering, ensembles, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Excellent written and verbal communication skills for coordinating across teams.</li><li>A drive to learn and master new technologies and techniques.</li></ul> About Swiss Re Corporate Solutions  Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime. Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.  Keywords:   Reference Code: 135488   <h4>Experience Level</h4>Senior Level

Swiss Re

Analyst

SeniorJob details

 •Proposed designation 
 Senior or Assistant Manager


 •Role type 
 Individual contributor


 •Reporting to  
 Assistant Manager/Manager


 •Geo to be supported 
 Germany


 •Work timings: 11.30 to 8 or as per business requirement


 •Work mode: Hybrid


  

Roles &amp; responsibilities Process

 •Data Extraction, Preparation &amp; Transformation (ETL) including Data Cleansing and Data Validation using KPMG Users D&amp;A Tools, routines and scripts.


 •Coordinate with engagement teams and external clients to obtain the required data to perform audit D&amp;A solutions.


 •Processing of Analyses in KPMG Artificial Intelligence (Mindbridge) D&amp;A tool and KCw Data Workbench (e.g., Planning Analytics, Journal Entry Analysis).


 •Troubleshooting and Bug fixing of Data Preparation and Data Transformation routines &amp; scripts used &amp; Data Validation Results generated in the D&amp;A process.


 •Creation / Update / Review of Guidance and Training Materials


 •Audit D&amp;A Solution Delivery – lead and be part of the team that is responsible for Audit D&amp;A service delivery and ensure timely and quality audit deliverables

Technical &amp; Functional

 •Understand ERP systems from Functional or Techno-Functional perspective.


 •Content &amp; Industry Focus – Build strong domain expertise (Accounting &amp; Auditing), ERP specific and Industry knowledge to enable effective collaboration with International counterparts in KPMG and Clients


 •Coach and mentor, the team in every aspect of project management for effective client service


 •Using analytic &amp; visualization tools (e.g., Alteryx, SQL, Azure, Power BI, etc.) to perform and present analytic routines to the engagement team in a user friendly and insightful format.


 •Work with KPMG engagement teams to discuss results from the tool.


 •Participate in the design, development, and implement fixes and enhancements to existing modules or new modules.


 •Document processes and procedures for use by users / administrators


 •Maintain data confidentiality and adhere to the risk management policy.

This role is for you if you have  the belowEducational qualifications 

 •Btech or Bachelor’s in Computer Application


 •ERP/ Data Analytics experience


 •

Work experience

 •Minimum 3+ years of post-qualification experience


 •Experience with Big 4/leading Audit firms or their shared service center would be preferred


 •Proven technical project management skills / debugging skills 

Mandatory  technical &amp; functional skills

 •Experience in ETL &amp; Data Analytics tools like – Advanced Excel, Alteryx, Power BI, SQL, Azure


 •Be a critical thinker with strong analytical and problem-solving skills


 •Be comfortable with manipulating and combining large, high dimensional datasets from multiple sources

Key behavioral attributes/requirements 

 •Excellent written and verbal communication skills.


 •Team player


 •Self-driven


 •Ability to work independently and motivate team players

 Key leadership competencies

 •Should drive engaged workforce and uphold positive relationships with employees, to foster a culture of collaboration, innovation, and inclusivity.


 •Quality: Must have the ability to oversee all aspects of quality control processes and ensure that the services provided to the clients meet the highest possible standards by being detail-oriented, analytical, and highly organized.


 •Continuous Improvement: Should be able to identify the areas of improvement and focus on continual improvement 


 •Financial Knowledge: Must possess strong financial skills to ensure that the financials  
 of their respective unit are managed to or better than budget.


 •Risk &amp; Compliance: Should ensure all risk practices of the firm are compiled without any non-compliance.

Other information

 •Interview process: 2-3 rounds


 •Does the job role involve travelling: No


 •Does the busy season apply to this role?: Yes, during the Interim &amp; Year End Audits which are usually 4-5 months in a year.<h4>Experience Level</h4>Senior Level

Kpmg India Services Llp

Data Analyst

(IND) STAFF, DATA ENGINEER<h4>Position Summary...</h4>Oversees the implementation of multiple business initiatives by assessing customer and operational requirements, formulating and communicating business strategies and priorities, addressing performance barriers, allocating appropriate resources, defining performance metrics, monitoring progress, making adjustments as necessary, developing contingency measures, and demonstrating adaptability while fostering continuous learning. Provides leadership and professional development for associates by engaging in recruitment and training, mentoring team members, delegating responsibilities, cultivating a collaborative work environment, establishing and reviewing performance objectives, providing constructive feedback and recognition, coaching for growth and improvement, and encouraging a sense of belonging within the organization. Upholds and advances company policies, procedures, mission, values, and ethical standards by educating and guiding others in their application, ensuring compliance, and promoting the use of the Open Door Policy. Ensures organizational objectives are achieved by regularly evaluating the effectiveness of current plans and programs, consulting with relevant stakeholders, seeking and incorporating suggestions for enhanced efficiency and cost-effectiveness, and actively participating in community outreach initiatives.<h4>What you'll do...</h4>What You’ll Do<ul><li>Design and lead the development of enterprise-scale data platforms that support advanced analytics, real-time decisioning, and machine learning use cases across the organization.</li><li>Drive architectural decisions and set engineering standards for data ingestion, transformation, storage, and access—ensuring scalability, reliability, and performance.</li><li>Collaborate with cross-functional teams including product managers, data scientists, analysts, and software engineers to translate business needs into robust data solutions.</li><li>Champion data quality, governance, and observability, implementing frameworks and tools to ensure trusted, compliant, and well-documented data assets.</li><li>Mentor and influence engineering teams, fostering a culture of innovation, technical excellence, and continuous improvement across the data engineering function.</li></ul> What You’ll Bring<ul><li>Extensive experience (10+ years) in data engineering, with a proven track record of building and scaling complex data systems in cloud-native environments (e.g., GCP, AWS, Azure).</li><li>Deep expertise in modern data technologies such as Spark, Kafka, Airflow, BigQuery, Snowflake, Delta Lake, and orchestration frameworks.</li><li>Strong programming and data modeling skills, particularly in Python, SQL, and distributed computing paradigms.</li><li>Experience leading large-scale data initiatives, including data platform modernization, real-time streaming, and data mesh or lakehouse architectures.</li><li>Excellent communication and leadership abilities, with the capability to influence technical direction, align stakeholders, and drive strategic outcomes.</li></ul>About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.BenefitsBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.BelongingWe aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.Equal Opportunity EmployerWalmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.<h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field. Option 2: 6 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field. 3 years' experience in data engineering, database engineering, business intelligence, or business analytics.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

Sr Specialist Comp Intel OpsPRIMARY FUNCTION As Senior Specialist, Comp Intel Ops, you will be responsible for identifying comparable matches in competitors for key items online and in stores to ensure Target is accurately price positioned verses the competitors. PRINCIPAL DUTIES AND RESPONSIBILITIES 1. Product Identification - Identify &amp; match Target items with the competitors taking various product/item attributes into consideration for the assigned departments. Ensure to identify comparable matches in at least one of our competitors to be able to competitively price items 2. Data Quality – Ensure quality in competitor data gathered by reviewing and analyzing data through regular audits of competitor matches 3. Maintain flawless execution with 100% accuracy and timeliness, gain expertise of the assigned departments 4. Escalate procedural/technical issues to the engineering teams 5. Prioritizes multiple tasks to complete work on time 6. Ownership of daily deliverables across divisions, weekly recaps and meeting with Leader 7. Ensure timely and proactive communication with key stakeholders 8. Demonstrate ability to work as a team and cultivate an inclusive environment 9. Demonstrates initiative to pursue and develop process Best Methods. Creates and documents new best methods where appropriate This<h4>Experience Level</h4>Senior Level

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