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ManagerJob Title: Business Intelligence ManagerJob Description:We are seeking an experienced Business Intelligence Manager to lead our data analytics and reporting efforts. The ideal candidate will have 10-12 years of professional experience, with extensive expertise in project and people management, business intelligence, and data analytics. This role requires a strategic thinker who can drive data-driven decisions and enhancements across the organization.Key Responsibilities:<ul><li>Oversee the production of comprehensive reporting and analytics packs, ensuring timely delivery and high-quality insights.</li><li>Lead the development of interactive dashboards to meet diverse user needs.</li><li>Design and implement data models to optimize and integrate data flows effectively.</li><li>Champion continuous improvements, enhancements, and efficiencies in data processes.</li><li>Identify issues proactively and develop effective solutions.</li><li>Encourage constructive questioning and challenge processes to achieve the best outcomes.</li><li>Guide the development of new reports based on onshore requirements and evolving business needs.</li><li>Foster innovative problem-solving approaches to handle regular deliverables and complex reporting challenges.</li><li>Manage relationships with clients, effectively addressing and resolving difficult situations independently.</li><li>Conduct variance analysis and provide insightful commentary on reports for the leadership team.</li><li>Oversee the creation and maintenance of Standard Operating Procedures (SOPs) for operational activities.</li><li>Respond to and support ad-hoc requests with agility and precision.</li><li>Lead and supervise a team, guiding them in achieving business intelligence objectives and fostering professional development.</li></ul>Technical Skills:<ul><li>Advanced experience with data visualization tools, particularly Power BI, for creating insightful and interactive dashboards.</li><li>Proficiency in report automation using VBA (Visual Basic for Applications).</li><li>Expertise in developing custom business applications using Power Apps to enhance process efficiencies.</li><li>Strong understanding of operations excellence principles and service delivery management to ensure streamlined and effective processes.</li><li>Familiarity with data integration and automation tools such as Alteryx and Power Automate.</li><li>Deep knowledge of data extraction, transformation, and loading (ETL) processes using Power Query.</li><li>Commitment to data governance practices and ensuring data quality and integrity.</li><li>Understanding and experience in Python is considered an advantage.</li></ul>Enabling Skills:<ul><li>Excellent communication and interpersonal skills, with the ability to manage expectations and handle conflicts.</li><li>Professional, service-oriented, proactive, and adaptable to change.</li><li>Strong self-motivation, with the ability to prioritize tasks effectively.</li><li>Demonstrate maturity and resilience, able to work well under pressure in a fast-paced environment.</li></ul>Education &amp; Experience:<ul><li>Bachelor’s degree with 10-12 years of relevant experience; or Master’s degree with at least 9 years of experience.</li><li>Extensive experience in management information (MI) reporting and data management.</li><li>Previous experience in a professional services firm, preferably a Big 4, is highly desirable.</li></ul>Job Title: Business Intelligence ManagerJob Description:We are seeking an experienced Business Intelligence Manager to lead our data analytics and reporting efforts. The ideal candidate will have 10-12 years of professional experience, with extensive expertise in project and people management, business intelligence, and data analytics. This role requires a strategic thinker who can drive data-driven decisions and enhancements across the organization.Key Responsibilities:<ul><li>Oversee the production of comprehensive reporting and analytics packs, ensuring timely delivery and high-quality insights.</li><li>Lead the development of interactive dashboards to meet diverse user needs.</li><li>Design and implement data models to optimize and integrate data flows effectively.</li><li>Champion continuous improvements, enhancements, and efficiencies in data processes.</li><li>Identify issues proactively and develop effective solutions.</li><li>Encourage constructive questioning and challenge processes to achieve the best outcomes.</li><li>Guide the development of new reports based on onshore requirements and evolving business needs.</li><li>Foster innovative problem-solving approaches to handle regular deliverables and complex reporting challenges.</li><li>Manage relationships with clients, effectively addressing and resolving difficult situations independently.</li><li>Conduct variance analysis and provide insightful commentary on reports for the leadership team.</li><li>Oversee the creation and maintenance of Standard Operating Procedures (SOPs) for operational activities.</li><li>Respond to and support ad-hoc requests with agility and precision.</li><li>Lead and supervise a team, guiding them in achieving business intelligence objectives and fostering professional development.</li></ul>Technical Skills:<ul><li>Advanced experience with data visualization tools, particularly Power BI, for creating insightful and interactive dashboards.</li><li>Proficiency in report automation using VBA (Visual Basic for Applications).</li><li>Expertise in developing custom business applications using Power Apps to enhance process efficiencies.</li><li>Strong understanding of operations excellence principles and service delivery management to ensure streamlined and effective processes.</li><li>Familiarity with data integration and automation tools such as Alteryx and Power Automate.</li><li>Deep knowledge of data extraction, transformation, and loading (ETL) processes using Power Query.</li><li>Commitment to data governance practices and ensuring data quality and integrity.</li><li>Understanding and experience in Python is considered an advantage.</li></ul>Enabling Skills:<ul><li>Excellent communication and interpersonal skills, with the ability to manage expectations and handle conflicts.</li><li>Professional, service-oriented, proactive, and adaptable to change.</li><li>Strong self-motivation, with the ability to prioritize tasks effectively.</li><li>Demonstrate maturity and resilience, able to work well under pressure in a fast-paced environment.</li></ul>Education &amp; Experience:<ul><li>Bachelor’s degree with 10-12 years of relevant experience; or Master’s degree with at least 9 years of experience.</li><li>Extensive experience in management information (MI) reporting and data management.</li><li>Previous experience in a professional services firm, preferably a Big 4, is highly desirable.</li></ul>Job Title: Business Intelligence ManagerJob Description:We are seeking an experienced Business Intelligence Manager to lead our data analytics and reporting efforts. The ideal candidate will have 10-12 years of professional experience, with extensive expertise in project and people management, business intelligence, and data analytics. This role requires a strategic thinker who can drive data-driven decisions and enhancements across the organization.Key Responsibilities:<ul><li>Oversee the production of comprehensive reporting and analytics packs, ensuring timely delivery and high-quality insights.</li><li>Lead the development of interactive dashboards to meet diverse user needs.</li><li>Design and implement data models to optimize and integrate data flows effectively.</li><li>Champion continuous improvements, enhancements, and efficiencies in data processes.</li><li>Identify issues proactively and develop effective solutions.</li><li>Encourage constructive questioning and challenge processes to achieve the best outcomes.</li><li>Guide the development of new reports based on onshore requirements and evolving business needs.</li><li>Foster innovative problem-solving approaches to handle regular deliverables and complex reporting challenges.</li><li>Manage relationships with clients, effectively addressing and resolving difficult situations independently.</li><li>Conduct variance analysis and provide insightful commentary on reports for the leadership team.</li><li>Oversee the creation and maintenance of Standard Operating Procedures (SOPs) for operational activities.</li><li>Respond to and support ad-hoc requests with agility and precision.</li><li>Lead and supervise a team, guiding them in achieving business intelligence objectives and fostering professional development.</li></ul>Technical Skills:<ul><li>Advanced experience with data visualization tools, particularly Power BI, for creating insightful and interactive dashboards.</li><li>Proficiency in report automation using VBA (Visual Basic for Applications).</li><li>Expertise in developing custom business applications using Power Apps to enhance process efficiencies.</li><li>Strong understanding of operations excellence principles and service delivery management to ensure streamlined and effective processes.</li><li>Familiarity with data integration and automation tools such as Alteryx and Power Automate.</li><li>Deep knowledge of data extraction, transformation, and loading (ETL) processes using Power Query.</li><li>Commitment to data governance practices and ensuring data quality and integrity.</li><li>Understanding and experience in Python is considered an advantage.</li></ul>Enabling Skills:<ul><li>Excellent communication and interpersonal skills, with the ability to manage expectations and handle conflicts.</li><li>Professional, service-oriented, proactive, and adaptable to change.</li><li>Strong self-motivation, with the ability to prioritize tasks effectively.</li><li>Demonstrate maturity and resilience, able to work well under pressure in a fast-paced environment.</li></ul>Education &amp; Experience:<ul><li>Bachelor’s degree with 10-12 years of relevant experience; or Master’s degree with at least 9 years of experience.</li><li>Extensive experience in management information (MI) reporting and data management.</li><li>Previous experience in a professional services firm, preferably a Big 4, is highly desirable.</li></ul><h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Business Intelligence Manager

Data Scientist, Google Photos and Google One, Product<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.</li><li>5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL), or 2 years work experience with a Master's degree.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li></ul><h4>About the job</h4>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.<h4>Responsibilities</h4><ul><li>Partner with Finance, User Experience (UX), Product Management (PM), and Engineering to deliver analytics/experimentation infrastructure and processes that empower the team to deliver insights and decision-making.</li><li>Identify business problems where a data science approach is appropriate. Bring structure to the problem, apply the right investigative solutions, and recommend actions that improve the product and user experience. </li><li>Promote a culture of learning within the team. Identify and advocate new data sources, tools, and methodologies to enhance the investigative capabilities and drive innovation.</li><li>Manage relationships between cross-product area teams, and elucidate and quantify tradeoffs between engaging goals. </li></ul><h4>Experience Level</h4>Mid Level

Google India Pvt Ltd

Data Scientist

AVP, Analytics – Lifestyle (L11)Job Description:Role Title : AVP, Analytics – Lifestyle (L11)Company Overview:Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.<ul><li>We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.</li><li>We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.</li><li>We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.</li></ul>Organization OverviewOur analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose:AVP, Analytics role is a part of India Analytics Hub (IAH). The role involves developing analytical solutions in partnership with US Analytics teams across marketing planning, measurement and optimization, customer analytics, targeting &amp; segmentation, forecasting, etc. areas to identify growth opportunities , optimize business strategies and derive actionable insights across customer journey. Essential Responsibilities:<ul><li>Act as a trusted business consultant and advisor by understanding business needs, translating them into data-driven KPIs, dashboards, and actionable insights, and making recommendations to senior leadership.</li><li>Lead and deliver advanced analytics and solutions from problem discovery through execution to solve critical business challenges.</li><li>Influence decision-making with data-backed analyses and measurable business impact.</li><li>Establish and maintain strong relationships with US and IAH teams to promote the team’s value and drive collaboration.</li><li>Provide hands-on leadership for complex, high-impact projects.</li><li>Foster a culture of innovation, learning, and sustainability within the team.</li><li>Manage people-related responsibilities, including team planning, hiring, performance reviews, and career development.</li></ul>Required Skills &amp; Knowledge:<ul><li>Minimum 6 years of hands-on experience in SQL and SAS programming, including working with complex and large datasets, and leveraging advanced algorithms.</li><li>At least 2 years of experience managing and developing talent with a focus on constructive feedback and coaching.</li><li>Advanced proficiency in MS Excel and PowerPoint, with strong data analysis, storytelling, and dashboarding skills; experience with Tableau is required.</li><li>Excellent verbal and written communication skills, capable of engaging diverse audiences including senior business leaders and technical teams.</li><li>Proven ability to solve complex technical and interpersonal challenges independently.</li><li>Experience managing multiple initiatives in ambiguous and complex environments.</li><li>Solid understanding of targeting, segmentation, and campaign measurement.</li><li>Good knowledge of the credit card industry and associated business dynamics.</li></ul>Desired Skills &amp; Knowledge:<ul><li>Proven hands-on experience utilizing SAS and SQL.</li><li>Proven experience in storytelling and presenting insights effectively to senior leaders.</li><li>Hands-on experience with open-source analytics tools such as R and Python (a plus).</li><li>Experience with modeling, forecasting, and advanced statistical techniques (preferred).</li><li>Familiarity with financial P&amp;L drivers and key sensitivities specific to the credit card business.</li></ul>Eligibility Criteria:Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or other quantitative fields (distance learning not eligible) with 6+ years of hands-on analytics experience, ORIn lieu of a degree, 8+ years of relevant experience in analytics.Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. The position is remote, where you have the option to work from home ​For Internal Applicants:<ul><li>Understand the criteria or mandatory skills required for the role, before applying</li><li>Inform your manager and HRM before applying for any role on Workday</li><li>Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)</li><li>Must not be any corrective action plan (First Formal/Final Formal, LPP)</li><li>L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.</li><li>L09+ Employees can apply</li></ul>Level / Grade : 11Job Family Group:Data Analytics<h4>Experience Level</h4>Executive Level

Synchrony

Business Intelligence Analyst

Strategic Analytics and Intelligence Leader International<h4>Job Description Summary</h4>The Strategic Analytics and Intelligence Leader will drive data-driven insights across the business by leveraging both external and internal data sources. This role will act as a key advisor to the leadership team, identifying opportunities and piloting special operating projects to operationalize strategies and deliver proof of concept. The leader will play a crucial role in shaping the strategic direction of the organization through comprehensive analysis and innovative project management. We are seeking a highly skilled and experienced Strategic Analytics and Intelligence Leader who will drive data-driven insights across the business by leveraging both external and internal data sources. This individual will act as a key advisor to the leadership team, identifying opportunities and piloting special operating projects to operationalize strategies and deliver proof of concept. The ideal candidate will play a crucial role in shaping the strategic direction of the organization through comprehensive analysis and innovative project management.<h4>Job Description</h4>Key Responsibilities:<ul><li>Develop and implement strategic analytics and intelligence initiatives across international markets.</li><li>Provide actionable insights and recommendations to the leadership team based on thorough data analysis and market intelligence.</li><li>Identify and evaluate new business opportunities, market trends, and competitive dynamics.</li><li>Pilot and manage special strategic projects, ensuring alignment with organizational goals and timely execution.</li><li>Collaborate with cross-functional teams, including finance, marketing, sales, and operations, to drive strategic initiatives.</li><li>Develop and maintain dashboards, reports, and presentations to communicate findings and recommendations to senior management.</li><li>Monitor and analyze key performance indicators (KPIs) to track the success of strategic initiatives.</li><li>Stay current with industry trends, emerging technologies, and best practices in analytics and intelligence.</li></ul>Qualifications:<ul><li>Bachelor's degree in Business, Economics, Data Science, or a related field. MBA or advanced degree preferred.</li><li>Experience in strategic consulting, strategic analytics, or business intelligence.</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.</li><li>Excellent communication and presentation skills.</li><li>Proven track record of successfully leading strategic projects and initiatives in a global or international context.</li><li>Ability to work effectively in a fast-paced, dynamic environment.</li></ul><h4>Additional Information</h4>Relocation Assistance Provided: No<h4>Experience Level</h4>Entry Level

GE Healthcare Private Limited

Business Intelligence and Analytics Manager

Senior Data EngineerWhen our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.Key Accountabilities: Data analysis: <ul><li>Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions). Advises database designers and other application development team members on the details of data structures and associated components.</li></ul>Database design:<ul><li>Develops and maintains specialist knowledge of database concepts, object and data modelling techniques and design principles and a detailed knowledge of database architectures, software and facilities. Analyses data requirements to establish, modify or maintain object/data models. Evaluates potential solutions, demonstrating, installing and commissioning selected products.</li></ul>Programming/ software development:<ul><li>Designs, codes, tests, corrects and documents complex programs and scripts from agreed specifications, and subsequent iterations, using agreed standards and tools, to achieve a well-engineered result. Takes part in reviews of own work and leads reviews of colleagues' work.</li></ul>Systems design: <ul><li>Specifies user/system interfaces and translates logical designs into physical designs taking account of target environment, performance security requirements and existing systems. Produces detailed designs and documents all work using required standards, methods and tools, including prototyping tools where appropriate.</li></ul>Key Responsibilities: <ul><li>Design and develop ETL mappings and workflows using Qlik or Informatica.</li><li>Develop technical specifications for data loading rules.</li><li>Mentor and provide technical guidance for Software Engineers.</li><li>Design, implement, and architect software products.</li><li>Design, implement, and architect product extensions for customer specific requirements.</li><li>Adhere to and produce artifacts (technical specifications, architectural specifications, data models, installation and qualification guides, and release notes) for the software development process.</li><li>Support technical consulting activities to clients in the pharmaceutical industry.</li><li>Design and support clinical trials information sharing solutions.</li><li>Provide application support for existing products.</li><li>Help with release management, using versioning tools such as SVN, and executing live deployments.</li></ul>Skills:<ul><li>Willingness to work in a matrix environment and to value the importance of teamwork.</li><li>Understanding of common system architecture frameworks and concepts.</li><li>Technical awareness of Security and Application Software Development.</li><li>Excellent interpersonal, verbal and written communication skills.</li><li>Client focused approach to work.</li></ul>Knowledge and Experience:<ul><li>Proven relevant experience in systems integration and implementation, or software development, or a related discipline.</li><li>Demonstrated ability to liaise with multiple stakeholders.</li><li>Experience with Microsoft Azure components in particular, Azure SQL, Azure Analysis Services, Synapse.</li><li>Experience implementing ETL solutions, particularly utilizing Qlik Replicate and Compose. </li><li>Strong Database Development Skills, particularly implementing SQL solutions in Azure SQL, Synapse or Databricks. environments. Good experience with large datasets.</li><li>Experience improving Data Quality in Data Warehouses, particularly utilizing Informatica Data Quality.</li><li>Experience testing ETL solutions, particularly utilizing Informatica DVO product.</li><li>Experience using Enterprise Architecture modeling tools, frameworks and methodologies such as TOGAF, SPARX EA, UML, BPMN, ArchiMate etc.</li><li>Experience Designing Data Warehouses, applying Kimball’s Dimensional Modeling Techniques, Architecting ETL systems.</li><li>Experience working in Agile development software methodology, authoring technical documents / specifications.</li><li>Experience debugging complex software systems.</li><li>Significant experience implementing data-driven systems with large-scale relational or object-oriented databases. </li><li>Ability to work in a high pressure, result/deadline-oriented environment.</li></ul>Education:<ul><li>Bachelor's Degree in technical discipline (Math’s, Science, Engineering, Computing, etc.) or a related study, or equivalent project-related experience.</li></ul><h4>Experience Level</h4>Senior Level

Parexel International (india) Private Limited

Data Engineer

Data ConsultantWho 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 RoleAre you ready to embark on an exhilarating journey as a Data Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner. As Enterprise Consultant for Data and AI solutions you are expected to create a vision of the future by working with leadership to identify opportunities and translate them into functional and non-functional requirements. You should be and expert in Data Science/Model Lifecycle and deep expertise of managing data solutions. As an Architect in our Data and AI team, you will provide best-fit architectural solutions for one or more projects leveraging your architectural skills;  assist in defining scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third party services, designing and developing complex features for clients' business needs. You will collaborate with some of the best talent in the industry to create and implement innovative solutions, participate in Pre-Sales and various pursuits focused on our clients' business needs.You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, data management models, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains. Responsibilities:<ul><li>Handling RFP / RFI / Government Tender technical solution, detailed scope preparation, effort estimations and response drafting</li><li>Excellent presentation skills is important</li><li>Understand client needs, translate them into business solutions that can be  implemented</li><li>Responsible for architecture, design and development of scalable data engineering / AI solutions and standards for various business problems using cloud native services, or third party services on hyperscalers  </li><li>Take ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential Data science/Model related problems</li><li>Delivering and presenting proofs of concept of key technology components to project stakeholders</li><li>Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.</li><li>Design and develop model utilization benchmarks, metrics, and monitoring to measure and improve models. Detect model drift and alert - Prometheus, Grafana stack, Cloud native monitoring stack </li><li>Research, design, implement and validate cutting-edge deployment methods across hybrid cloud scenarios </li><li>Develop and maintain documentation of the Model flows and integrations, pipelines etc</li><li>Evaluate and create PoVs around the performance aspects of  DSML platforms and tools in the market against customer requirements</li><li>Assist in driving improvements to the Data Engineering stack, with a focus on the digital experience for the user, as well as model performance &amp; security to meet the needs of the business and customers, now &amp; in the future</li></ul>Required Experience:Data Engineer with 15+ years of experience with following skills -<ul><li>Must have 5+ years of experience working with Data modernisation solutions, working experience with on-prem or in cloud AI, DWH solutions based on native and third party solutions based AWS, Azure, GCP, Databricks etc. </li><li>Experience of handling RFP / RFI / Tender responses, proposal preparation</li><li>Must have experience designing and architecting of data lake/warehouse projects using Paas and Saas - such as Snowflake, Databricks, Redshift, Synapse, BigQuery etc. or data warehouse/data lake implementations on-premise</li><li>Must have good knowledge in designing  data pipelines ETL/ELT, DS modules implementing complex stored Procedures and standard DWH and ETL concepts</li><li>Experience in Data Migration from on-premise RDBMS to cloud data warehouses</li><li>Good understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)</li><li>Hands-on experience in Python, PySpark, programming for data integration projects</li><li>Support in providing resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface.</li></ul> Who You ArePreferred Skills:<ul><li>Understanding of cloud network, security, data security and data access controls and design aspects </li><li>AI and Data solutions on Hyperscalers such as Databricks, MS-Fabric, co-pilot, AWS redshift, GCP BigQuery, GCP Gemini etc</li><li>Background Agentic AI, GenAI technologies will be added advantage </li><li>Hands ON experience for planning and executing POC / MVP / Client projects engaging Data Modernization and AI use case developments </li></ul>Required Skills: •Bachelor's degree in Computer Science, Information Security, or a related field •Skilled in planning, organization, analytics, and problem-solving •Excellent communication and interpersonal skills to work collaboratively with clients and team members •Comfortable working with statistics 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

Data Analyst Intern

Staff Data Science Consultant II - Supply ChainOverview &amp; Scope:Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.What you’ll do: <ul><li>Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include</li><li>Data ingestion, data visualization and insights, verifying the integrity of data used for analysis</li><li>Feature engineering, configuring forecasting models</li><li>Fine tune forecasting model</li><li>Present results in a clear manner</li><li>Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.</li><li>Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.</li><li>Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.</li></ul>What we are looking for:<ul><li>Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>Experience: 10-15 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools</li><li>Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li></ul>Personal competencies:<ul><li>Ability to work independently and as part of a team in a consulting environment.</li><li>Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</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>Mid Level

Blue Yonder Pvt Ltd

Data Science Intern

Sr Staff Data Science Consultant - Supply ChainOverview &amp; Scope:Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.What you’ll do: <ul><li>Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include</li><li>Data ingestion, data visualization and insights, verifying the integrity of data used for analysis</li><li>Feature engineering, configuring forecasting models</li><li>Fine tune forecasting model</li><li>Present results in a clear manner</li><li>Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.</li><li>Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.</li><li>Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.</li></ul>What we are looking for: <ul><li>Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>Experience: 14-17 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools</li><li>Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li></ul>Personal competencies: <ul><li>Ability to work independently and as part of a team in a consulting environment.</li><li>Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</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

IN_Senior Associate_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.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 in order 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:· • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels.Mandatory skill sets:AI/ML, NLP, and Generative AI models,Preferred skill sets:Azure, Google CloudYears of experience required:3-5 YearsEducation qualification:Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.Education (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

PriceWaterhouseCoopers Pvt Ltd ( PWC )

SQL Developer

Contractor<h4>Area(s) of responsibility</h4>TAMR Architect (10 to 12 Years)Architect and implement end-to-end Tamr Customer 360 Architecture, designing and implementing a unified, accurate, and actionable view of customer data using Tamr's AI-powered data mastering platform.Experience in designing the overall data model for the Customer 360 solution, including the structure and relationships between different data entities. Develop and maintain data pipelines using Python for extracting, transforming, and loading data from various sources into TAMR.Experience in Tamr's AI/ML capabilities for data mastering, including entity resolution, data quality improvement, and enrichment. Experience in Cloud services and PythonUtilize AWS, Azure, and Snowflake to build scalable and secure data infrastructure and optimize data processing and storage.<h4>Experience Level</h4>Senior Level

Birlasoft Limited

Architect

Applied Scientist I – Machine Learning and AI, Amazon Music Catalog TeamAre you passionate about applying machine learning and data-driven techniques to solve real-world problems at global scale? Amazon is seeking an Applied Scientist who combines curiosity, creativity, and strong analytical skills to build models and algorithms that power customer experiences and business decisions. As an Applied Scientist I, you will work with senior scientists and engineers to design, train, and deploy ML models using large-scale datasets. You will experiment with modern techniques in supervised and unsupervised learning, natural language processing, computer vision, or optimization—depending on the team’s focus area. You’ll also have opportunities to learn Amazon’s scalable infrastructure, experiment platforms, and science best practices. This role is ideal for someone early in their career who enjoys working in collaborative, multidisciplinary teams and is excited by the opportunity to learn, innovate, and deliver measurable impact to customers. Key responsibilities include: Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks. Build, train, and evaluate models using large, complex datasets. Implement scalable data pipelines and model-serving systems. Analyze experimental results, draw insights, and refine models to improve accuracy and robustness. Communicate findings and recommendations to technical and non-technical audiences. Continuously learn and apply new algorithms and techniques to improve existing systems.<h4>Basic Qualifications</h4> - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse <h4>Preferred Qualifications</h4>- Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<h4>Experience Level</h4>Senior Level

 Amazon India Limited 

Science Mentor

IN_Associate_ SAP Analytics_D&A_Advisory_PuneLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.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:Excellent technical know-how and hands on experience in SAP BW4/HANA. · Good balance of experience in SAP BW4HANA/BW on HANA Modeling, Data extraction and reporting areas. · Hands on Experience on Business Warehouse Modeling: Standard and custom data models &amp; Extractors (ODP &amp;amp; Non ODP). · Expertise in SAP and non-SAP extraction and functional aspects. · End to end development experience in SAP BW4HANA Modelling using ADSOs, Composite Providers, Open ODS views, Transformations, BEX Queries and Native HANA &amp;amp; exposing BW models as HANA views, mixed scenarios, HANA Analysis process Aware about LSA ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc. · Experience in BEx Query Designer, Customer Exits Variables, Roles &amp;amp; Authorization · Experience in ABAP (BW relevant) and SQL AMDP Scripts, Start/End/Exit/Expert/Field Routines) and BADIs, good in debugging ABAP Code. · Functional knowledge of other SAP modules (PS, SD, MM, FICO, PS, PM, REFX etc). · Experience in mapping business requirements to the technical architecture design and data model. · Worked on SAP BW Support Projects &amp;amp; having knowledge of Administration: Monitoring Process Chains. Expert in trouble shooting the load failures. · Worked on SAP BI migration/upgrade Project Knowledge of any Reporting will be plusMandatory skill sets:SAP AnalyticsPreferred skill sets:SAP AnalyticsYears of experience required:4-8Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsSAP Analytics CloudOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Communication, Complex Data Analysis, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, SAP Analytics Cloud, SAP BusinessObjects Business Intelligence (BI), SAP BW/4HANA, SAP BW on HANA Data Modeling and Development {+ 5 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

IN_Manager_AI/ML Engineer_Data & Analytics_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob 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 in order 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:• Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets:AI/ML, NLP, and Generative AI models,Preferred skill sets:Azure, Google CloudYears of experience required:3-5 YearsEducation qualification:Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsMachine Learning (ML)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 {+ 32 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>Mid Level

Automation Process Engineer

IN_Senior Associate_AI/ML_ Data and 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.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 in order 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: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels.Mandatory skill sets:AI/ML, NLP, and Generative AI models,Preferred skill sets:Azure, Google CloudYears of experience required:3-5 YearsEducation qualification:Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsArtificial Intelligence (AI)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 RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

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