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Lead Data ScientistJPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.  As a senior ML and GenAI engineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.  You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.  Job Responsibilities  Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions Close partnership with peers in a geographically dispersed team and colleagues across organizational lines Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. Deploy solutions into public cloud infrastructure Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact  Required qualifications, capabilities, and skills  <ul><li>MS in Computer Science, Statistics, Mathematics or Machine Learning. </li></ul><ul><li>Minimum 5 years development experience, preferably with 3+ years hands-on Machine Learning Engineering </li></ul><ul><li>Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions </li></ul><ul><li>Solid Python programming skills required; with other high-performance language such as Go a big plus </li></ul><ul><li>Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. </li></ul><ul><li>Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus </li></ul><ul><li>Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) </li></ul><ul><li>Expertise in application, data, and infrastructure architecture disciplines </li></ul><ul><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. </li></ul><ul><li>Excellent communication skills and ability to communicate with senior technical and business partners </li></ul>  Preferred qualifications, capabilities, and skills  <ul><li>Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. </li></ul><ul><li>Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn </li></ul><ul><li>Understanding of finance or wealth management businesses is an added advantage </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

Data Analyst Intern

Senior Analyst, Data Quality Programs-4Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummarySenior Analyst, Data Quality Programs-4The Enterprise Data Quality (EDQ) team within the AI and Data Office is responsible for developing Mastercard’s data quality program and driving data quality improvements. We ensure data is of the highest quality and is fit-for-purpose to support business and analytic uses. Our team designs controls and solutions that help protect the integrity of the network. We collaborate with regional and global product teams, as well as Services Technology, to identify and prioritize data quality investments throughout the lifecycle of our business. This includes working with standards governing bodies such as ISO to define effective data formats and other standards. Additionally, the team works with tech and product to identify, plan mitigations and remediate all manner of data quality issues. The team is also responsible for the management of key data assets and capabilities supporting DQ, such as our merchant location and company master data, and the Enterprise Data Quality tooling used to profile and monitor data. Finally the team works to launch data quality programs that enforce data quality of data coming into the ecosystem. Role As a Senior Analyst, Data Quality Programs you will: Program Leadership and Planning •	Act as a business owner for data quality collection and improvement program investments. •	Execute a strategy to effectively maximize our programs to have the greatest impact on data quality. •	Define and track program KPIs, using data-driven insights to inform continuous improvement and executive reporting. •	Be a member of a high-performing team focused on operational excellence, and data quality improvement. •	Develop project plans and lead delivery of moderately sized projects across a matrixed team. •	Identify issues, risks, and dependencies and develop mitigation plans Program Governance •	Collaborate with cross-functional teams including Product, Services Tech, and Data Strategy to define platform requirements and success metrics. •	Partner with technology, internal audit and compliance teams to ensure platforms meet regulatory and security requirements. •	Manage associated revenue and expenses to most effectively realize the business objective of improved data quality. Communication and Alignment •	Work closely with customer teams to assist them in understanding requirements and maintaining compliance. •	Provide second level support for customers. •	Assist in the definition of operational processes. •	Develop project plans and lead delivery of moderately sized projects across a matrixed team. •	Identify issues, risks, and dependencies and develop mitigation plans. •	Run queries and create reports to identify issues and opportunities, and determine the impacts of our investments. All About You •	Organizational skills and project management: Proven ability to manage and successfully deliver projects in a matrix environment with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines •	Accountability: Demonstrated ability to operate with independence and autonomy and with a strong attention to detail and quality •	Communication and Influencing skills: Excellent influencing, interpersonal, and communication skills, with demonstrated ability to communicate to executives, peers, and staff with impact, eloquence, and authenticity •	Analytic mindset: analytical and strong problem-solving skills, using a fact-driven approach to program management, ability to interpret and synthesize data, pressure test and validate hypothesis, and challenge the status quo •	Technical judgement: Ability to understand the reasons behind architectural decisions and to use technical judgment to challenge and validate assumptions, enlisting engineering support to vet architecture as requiredCorporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul> <h4>Experience Level</h4>Senior Level

Mastercard India Services Pvt Ltd

Senior Analyst

Senior Analyst, Data Quality Programs-3Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummarySenior Analyst, Data Quality Programs-3The Enterprise Data Quality (EDQ) team within the AI and Data Office is responsible for developing Mastercard’s data quality program and driving data quality improvements. We ensure data is of the highest quality and is fit-for-purpose to support business and analytic uses. Our team designs controls and solutions that help protect the integrity of the network. We collaborate with regional and global product teams, as well as Services Technology, to identify and prioritize data quality investments throughout the lifecycle of our business. This includes working with standards governing bodies such as ISO to define effective data formats and other standards. Additionally, the team works with tech and product to identify, plan mitigations and remediate all manner of data quality issues. The team is also responsible for the management of key data assets and capabilities supporting DQ, such as our merchant location and company master data, and the Enterprise Data Quality tooling used to profile and monitor data. Finally the team works to launch data quality programs that enforce data quality of data coming into the ecosystem. Role As a Senior Analyst, Data Quality Programs you will: Program Leadership and Planning •	Act as a business owner for data quality collection and improvement program investments. •	Execute a strategy to effectively maximize our programs to have the greatest impact on data quality. •	Define and track program KPIs, using data-driven insights to inform continuous improvement and executive reporting. •	Be a member of a high-performing team focused on operational excellence, and data quality improvement. •	Develop project plans and lead delivery of moderately sized projects across a matrixed team. •	Identify issues, risks, and dependencies and develop mitigation plans Program Governance •	Collaborate with cross-functional teams including Product, Services Tech, and Data Strategy to define platform requirements and success metrics. •	Partner with technology, internal audit and compliance teams to ensure platforms meet regulatory and security requirements. •	Manage associated revenue and expenses to most effectively realize the business objective of improved data quality. Communication and Alignment •	Work closely with customer teams to assist them in understanding requirements and maintaining compliance. •	Provide second level support for customers. •	Assist in the definition of operational processes. •	Develop project plans and lead delivery of moderately sized projects across a matrixed team. •	Identify issues, risks, and dependencies and develop mitigation plans. •	Run queries and create reports to identify issues and opportunities, and determine the impacts of our investments. All About You •	Organizational skills and project management: Proven ability to manage and successfully deliver projects in a matrix environment with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines •	Accountability: Demonstrated ability to operate with independence and autonomy and with a strong attention to detail and quality •	Communication and Influencing skills: Excellent influencing, interpersonal, and communication skills, with demonstrated ability to communicate to executives, peers, and staff with impact, eloquence, and authenticity •	Analytic mindset: analytical and strong problem-solving skills, using a fact-driven approach to program management, ability to interpret and synthesize data, pressure test and validate hypothesis, and challenge the status quo •	Technical judgement: Ability to understand the reasons behind architectural decisions and to use technical judgment to challenge and validate assumptions, enlisting engineering support to vet architecture as requiredCorporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul> <h4>Experience Level</h4>Senior Level

IN_Senior Associate_Data Architect_Data and Analytics_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.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.Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:About the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you. What you will do: · Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments · Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses · Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows · Create and maintain data models in Databricks, ensuring data quality and consistency · Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency · Implement data governance and security best practices in cloud environments · Collaborate across teams to translate business requirements into robust technical solutionsMandatory skill sets:‘Must have’ knowledge, skills and experiences · 5+ years of hands-on experience in Data Engineering · Strong command over SQL, Python, and PySpark for data manipulation and analysis · Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS) · Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) · Solid understanding of ETL/ELT processes and best practices in cloud architectures · Experience with dimensional modeling, star schemas, and data mart design · Strong analytical thinking and problem-solving skillsPreferred skill sets:‘Good to have’ knowledge, skills and experiences · Familiarity with data lake architectures and delta lake concepts · Familiarity with Snowflake/Databricks Data Warehouse · Knowledge of data warehouse migration strategies to cloud · Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)· Exposure to data quality and data governance tools and methodologies · Understanding of data virtualization and federated query engines · Understanding of performance optimization techniques for cloud-based data warehouses · Apache Airflow – Workflow orchestration and scheduling · Certifications in Azure or AWS or DatabricksYears of experience required:Experience · 5-8 yearsEducation qualification:o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ArchitectureOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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 )

Data Engineer

Senior Analyst, Data Quality Programs-1Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummarySenior Analyst, Data Quality Programs-1The Enterprise Data Quality (EDQ) team within the AI and Data Office is responsible for developing Mastercard’s data quality program and driving data quality improvements. We ensure data is of the highest quality and is fit-for-purpose to support business and analytic uses. Our team designs controls and solutions that help protect the integrity of the network. We collaborate with regional and global product teams, as well as Services Technology, to identify and prioritize data quality investments throughout the lifecycle of our business. This includes working with standards governing bodies such as ISO to define effective data formats and other standards. Additionally, the team works with tech and product to identify, plan mitigations and remediate all manner of data quality issues. The team is also responsible for the management of key data assets and capabilities supporting DQ, such as our merchant location and company master data, and the Enterprise Data Quality tooling used to profile and monitor data. Finally the team works to launch data quality programs that enforce data quality of data coming into the ecosystem. Role As a Senior Analyst, Data Quality Programs you will: Program Leadership and Planning •	Act as a business owner for data quality collection and improvement program investments. •	Execute a strategy to effectively maximize our programs to have the greatest impact on data quality. •	Define and track program KPIs, using data-driven insights to inform continuous improvement and executive reporting. •	Be a member of a high-performing team focused on operational excellence, and data quality improvement. •	Develop project plans and lead delivery of moderately sized projects across a matrixed team. •	Identify issues, risks, and dependencies and develop mitigation plans Program Governance •	Collaborate with cross-functional teams including Product, Services Tech, and Data Strategy to define platform requirements and success metrics. •	Partner with technology, internal audit and compliance teams to ensure platforms meet regulatory and security requirements. •	Manage associated revenue and expenses to most effectively realize the business objective of improved data quality. Communication and Alignment •	Work closely with customer teams to assist them in understanding requirements and maintaining compliance. •	Provide second level support for customers. •	Assist in the definition of operational processes. •	Develop project plans and lead delivery of moderately sized projects across a matrixed team. •	Identify issues, risks, and dependencies and develop mitigation plans. •	Run queries and create reports to identify issues and opportunities, and determine the impacts of our investments. All About You •	Organizational skills and project management: Proven ability to manage and successfully deliver projects in a matrix environment with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines •	Accountability: Demonstrated ability to operate with independence and autonomy and with a strong attention to detail and quality •	Communication and Influencing skills: Excellent influencing, interpersonal, and communication skills, with demonstrated ability to communicate to executives, peers, and staff with impact, eloquence, and authenticity •	Analytic mindset: analytical and strong problem-solving skills, using a fact-driven approach to program management, ability to interpret and synthesize data, pressure test and validate hypothesis, and challenge the status quo •	Technical judgement: Ability to understand the reasons behind architectural decisions and to use technical judgment to challenge and validate assumptions, enlisting engineering support to vet architecture as requiredCorporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul> <h4>Experience Level</h4>Senior Level

Senior Data Quality ConsultantWe 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 build You’ll be part of the ECS Data Quality Management (DQM) team which is responsible to keep the meta data of all ECS related Configuration Items (systems, servers, customer numbers) in various internal tool systems clean and to take care that the synchronization between those tool systems works smooth. The meta data is then used e.g. by automated procedures or reporting and is key for a scalable and smoothly running Operations. In your role as a Senior Data Quality Consultant, you will have touchpoints with several technical aspects of Data Quality.  The role includes the following:<ul><li>Various activities &amp; projects in regards to data quality (RCA, Fix the Future, Fix the Past, Monitor the Fix)</li><li>Feature requests and bug reporting to the development teams</li><li>Master Data standards definition and design in our internal tools (SPC, Plato, CCIR, DED, Atlas)</li><li>The definition of KPIs and Reporting</li><li>DQM Continuous Improvement</li></ul>In your day-to-day you will:<ul><li>Drive necessary process adjustments in case of data quality issues</li><li>Drive various data quality projects</li><li>Pattern analysis of data issues (errors, missing data)</li><li>3rd Level Support for DQM issues</li><li>Interaction with various development teams &amp; Process/Procedure Owners</li><li>The creation and tracking of development requirements until final implementation</li><li>The creation of development bug reports</li><li>The harmonization of KPIs along the Data Quality Management process</li></ul> What you bring <ul><li>Are you pro-active?</li><li>You have the ability to inspire others and convince them to see opportunities instead of problems?</li><li>You have strong problem analysis and resolution skills?</li><li>And your English is excellent</li></ul>If this sounds like you, do you also bring:<ul><li>Knowledge of SAP basis technologies, Network/Web technologies, LINUX based infrastructures, High Availability and Disaster Recovery</li><li>Background in Data Quality Management is a plus</li><li>Knowledge in ITIL and Project Management methodology is a plus</li><li>ABAP Development skills are a plus</li></ul> Where you belong SAP Enterprise Cloud Services (ECS) is building the bridge for SAP on premise customers towards the SAP Cloud. ECS Delivery is the operational organization and our XDU Delivery unit, of which you will be part, is responsible for many cross topics like Data Quality Mgmt, Process Mgmt, Security Mgmt, Application Monitoring and several other topics which are supporting the Operations.  Your team members and main stakeholders are located in India and Germany  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: 437972  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid <h4>Experience Level</h4>Senior Level

Sap India Private Limited

Test Analyst

IN_Senior Associate_Data Modelling_Data and Analytics_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.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.Job Description &amp; Summary: We are looking for a highly skilled and experienced Data Engineer with deep expertise in dbt Core, Jinja templating, and modern data warehousing (preferably Snowflake). The ideal candidate will have a strong understanding of data modeling, transformation pipelines, and dbt internals, including custom materializations and macros.Responsibilities:You will work on: · 5–10 years of experience in data engineering or analytics engineering roles. · Strong hands-on experience with dbt Core (not just dbt Cloud). Must have 2-3 years strong Hands-On on dbt Core · Deep understanding of dbt internals, including how dbt compiles SQL, manages state, and executes runs. · Proficiency in Jinja templating and writing custom macros. · Experience with custom materializations and advanced dbt configurations. · Solid understanding of data modeling concepts (star/snowflake schema, normalization/denormalization). · Proficient in SQL and performance tuning. · Familiarity with CI/CD practices and tools like dbt Cloud/CLI, Git, dbt artifacts, and dbt tests. · Experience working in agile teams and collaborating across functions.Mandatory skill sets:· dbt (Data Build Tool) · SQL · Data Modelling · Data Warehouse experiencePreferred skill sets:: · Airflow (Workflow Orchestration) · Python (Scripting, Data Manipulation) · CI/CD (Git, Jenkins, Azure DevOps, etc.) · PL/SQLYears of experience required:Experience: 5 – 10 YearsEducation qualification:BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ModelingOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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

IN-Senior Associate_ Power BI_Risk Analytics_Advisory_ PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismRiskManagement LevelSenior AssociateJob Description &amp; SummaryA career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation.At 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 saelves 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. "Job Description &amp; SummaryRisk Analytics team focus on Risk Tech Transformation projects involving migration of on-premise applications to cloud, data platform modernisation, application modernisation, advanced analytics and data management concerned with risk &amp; regulatory reporting processes.This team provide Development, Design, oversight and support across each of the Risk &amp; Reg Reporting Solutions delivery towers to ensure Reporting Solutions systems and components are operationally sound and meeting Architecture and Design standards. Ensure delivery of support and strategic change aligns with the long-term strategy of the clients in Fortune / FT / BSE 500.Responsibilities:· Hands-on experience of working on implementation and development using T-SQL, Power BI &amp; Python· Experience of test-driven development alongside the use of automated test frameworks, mocking and stubbing and unit testing tools· An understanding of how to translate product and business requirements into technical solutions· The ability to understand and support, modify and maintain systems and code developed by other engineering teamsKnowledge and Experience· Development experience in SQL and Power BI service to publish and schedule reports· Knowledge of relational, in-memory, distributed and non-SQL databases· Knowledge on Python is preferred· Experience of using industry recognised frameworks and development tooling· Experience of working in an environment where products have to be delivered to specific timescales· An understanding of how to translate product and business requirements into technical solutions· Experience of working with code repositories, bug tracking tools and wikis· Display behaviours in line with our Critical People CapabilitiesMandatory Skill Sets:· Power BI+SQLPreferred Skill Sets:· PythonYears of Experience required:· 3+ YearsEducation Qualification:· BE, B.Tech, M.Tech, MCA, MBA graduates.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor in Business Administration, Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPower BIOptional SkillsAccepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

Chief Risk Management Officer

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, Applied Macroeconomics, 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, Geopolitical Forecasting {+ 24 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

Senior Developer

IN-Senior Associate_ Full Stack_D&A_Advisory_PAN IndiaLine 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• 4+ years of experience in full-stack development with the MERN stack (excluding MongoDB). • Strong proficiency in: • JavaScript, TypeScript • React.js, Node.js, Express.js • HTML5, CSS3, Tailwind CSS, Material UI • Proven experience with: • Microservices architecture • Microfrontend architecture • Familiarity with: • Azure Cloud services (good to have) • CI/CD pipelines, Git, Agile methodologies • Experience with JWT and modern authentication mechanisms. • Excellent problem-solving skills and attention to detail.Mandatory skill sets:Mern stackPreferred skill sets:Mern stackYears of experience required:4-13Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsMEAN (Solution Stack)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, 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, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

Senior Associate

Senior Data Scientist - (Python, ML, Numpy , Professional Services)Scope:You will work closely with customers, product teams, and engineering to:<ul><li>Onboard new clients and configure solutions to their data and business needs.</li><li>Validate data quality and integrity.</li><li>Deploy and monitor machine learning models in production.</li><li>Execute existing ML pipelines to train new models and assess their quality.</li><li>Interpret model performance and provide insights to both customers and internal teams.</li><li>Communicate technical concepts clearly to non-technical stakeholders.</li><li>Provide actionable feedback to product and R&amp;D teams based on field experience.</li></ul> Our Technical Environment:<ul><li>Languages: Python 3.*, SQL</li><li>Frameworks/Tools: TensorFlow, PyTorch, Pandas, NumPy, Jupyter, Flask</li><li>Big Data &amp; Cloud: Snowflake, Apache Beam/Spark, Azure, GCP</li><li>DevOps &amp; Monitoring: Docker, Kubernetes, Kafka, Pub/Sub, Jenkins, Git, TFX, Dataflow</li></ul>What you’ll do:<ul><li>Collaborate with customers and internal teams to understand data, business context, and deployment requirements.</li><li>Perform data validation, enrichment, and transformation to ensure readiness for modelling.</li><li>Execute pre-built ML pipelines to train and retrain models using customer data.</li><li>Evaluate and interpret model performance metrics to ensure quality and stability.</li><li>Monitor model behaviour and data drift in production environments.</li><li>Troubleshoot issues related to data pipelines, model behaviour, and system integration.</li><li>Clearly explain model behaviour, configuration, and performance to customer stakeholders.</li><li>Gather insights from customer engagements and provide structured feedback to product and engineering teams to drive product enhancements.</li><li>Document processes and contribute to playbooks for scalable onboarding.</li><li>Train and mentor junior PS team members.</li></ul> What We’re Looking For:<ul><li>Bachelor’s or master’s in computer science, Data Science, or related field with 5 to 10yrs of experience</li><li>Strong understanding of machine learning and data science fundamentals.</li><li>Proven experience deploying and supporting ML models in production.</li><li>Experience executing ML pipelines and interpreting model performance.</li><li>Excellent problem-solving and debugging skills.</li><li>Strong communication skills with the ability to explain complex technical topics to non-technical audiences.</li><li>Experience working directly with customers or cross-functional teams.</li><li>Familiarity with monitoring tools and best practices for production ML systems.</li><li>Experience with cloud platforms (Azure or GCP preferred).</li><li>Bonus: Experience in supply chain, retail, or similar domains.</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

Blue Yonder Pvt Ltd

Data Scientist

IN_Senior Associate_IICS, Snowflake Developer_Data & Analytics_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.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:Roles &amp; Responsibilities: · Extensive experience in developing solutions with Informatica Intelligent Cloud Services (IICS). · Experience in Snowflake · Design data mapping strategies between source systems, Salesforce Service Cloud · Assist in mapping source data to target fields within Salesforce. · Validate data before and after migration to ensure its accuracy. · Generate reconciliation files and document any discrepancies identified. · Design and develop ETL workflows using IICS to extract, transform, and load data into Salesforce Service Cloud. · Implement data transformation rules according to mapping specifications. · Assist with data loading into Salesforce using tools like Data Loader, when necessary. · Conduct various types of testing, including unit testing, system testing, and user acceptance testing (UAT), to ensure data accuracy and integrity. · Log and track defects until they are resolved. · Maintain comprehensive documentation of data migration processes, mappings, and validation rules. · Exhibit strong communication skills (both verbal and written), with the ability to effectively document development workflows, pipelines, and reporting functionalities. · Experience in Data Migration · Experience in SQLMandatory skill sets:IICS, Informatics, Salesforce, ETL, SnowflakePreferred skill sets:IICS, Informatics, Salesforce, ETL, SnowflakeYears of experience required:4-8 YearsEducation qualification:BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsSnowflake (Platform)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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

Data Consultant-Data ScientistWho We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Responsibilities:<ul><li>Lead the development and implementation of AI/ML, Generative AI and LLM projects, ensuring alignment with business objectives.</li><li>Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.</li><li>Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.</li><li>Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).</li></ul>In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.Your Future at KyndrylEvery position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You AreYou’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.Required Technical and Professional Experience:<ul><li>Minimum of 5 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.</li><li>Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail, Manufacturing) to quickly understand requirements and develop solutions.</li><li>Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 10 years of experience in the IT industry.</li><li>Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques.</li><li>Experience using LLM models on cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).</li><li>Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).</li><li>Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions.</li><li>Strong knowledge in programming, specifically in Python / R.</li><li>Be well equipped to understand machine learning algorithms and be versatile enough to implement them in pure NumPy, TensorFlow or PyTorch as required</li><li>Good understand of Mathematics Fundamentals like Statistics, Probability, Linear Algebra, and Calculus</li><li>Experience in Data mining and providing data insights using visualization</li><li>Knowledge in MySQL or NoSQL Databases will be added advantage</li></ul>Preferred Technical And Professional Experience<ul><li>Certification in one or more of the hyperscale's (Azure, AWS, Google Cloud Platform)</li><li>Open Certified Data Scientist (Open CDS) – L2/L3</li><li>Familiarity with Agentic AI frameworks</li></ul> Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.<h4>Experience Level</h4>Senior Level

Kyndryl Solutions Private Limited

Assistant Manager- Data ScienceAbout KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Data science 
 Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. 
B.E<h4>Experience Level</h4>Mid Level

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