Lead Data Engineer
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
Inviting applications for the role of Manager Data Scientist. In this role the Data Scientist will apply advanced analytics machine learning and statistical modeling to generate actionable insights and solve complex business problems. The role involves data collection cleaning exploratory analysis feature engineering model development and integration of AI/ML solutions into dashboards and applications. The Data Scientist collaborates with cross-functional teams to ensure models are aligned with business objectives reproducible and scalable. This role supports initiatives such as demand forecasting classification workforce analytics. By leveraging predictive modelling NLP and AI-driven insights the Data Scientist helps to make data-driven decisions optimize operations and enhance customer and employee experiences across its multinational business functions. Responsibilities: - Model Development & Statistical Analysis - Design develop and optimize machine learning deep learning and statistical models to solve complex business problems. - Gen AI & LLM Integration Implement and integrate AI/ML models into Gen AI and Agentic AI applications using Lang Chain Lang Graph Open AI AP Is RAG pipelines and vector databases. - End-to-End ML Pipelines Build deploy and maintain scalable ML pipelines from data ingestion and preprocessing to model deployment monitoring and lifecycle management. - Production Deployment & ML Ops Deploy models as AP Is or services using Docker Kubernetes Fast API and cloud platforms (AWS Sage Maker GCP Vertex AI Azure ML) while implementing CI/CD for automated testing and versioning. - Performance Monitoring & Reliability monitor model performance in production detect drift or degradation and establish alerting mechanisms to ensure reliability compliance and governance. - Analytics Integration Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders. - Governance & Compliance ensure model explainability (XAI) security audit logging and adherence to ethical regulatory and enterprise standards. - Knowledge Sharing - Conduct and participate in training sessions workshops and technical discussions to share insights AI/ML techniques and best practices with team members. - Stakeholder Communication - Translate complex model results analytics and AI-driven insights into clear actionable recommendations for business and non-technical stakeholders. - Documentation & Enablement - Create well-structured documentation reproducible workflows and explanatory reports to support model adoption operational handovers and team learning. - Cross-Functional Collaboration - Works closely with senior data scientists engineers and product teams to implement AI/ML solutions ensuring alignment with project requirements and business objectives. - Independent Contribution - Executes tasks such as data cleaning exploratory analysis feature engineering and baseline model development under guidance contributing to end-to-end AI/ML workflows - Stakeholder Alignment - Assists in presenting findings visualizations and insights to business and HR stakeholders translating technical results into actionable recommendations.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle
Required Skills
Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling
Language
English
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
Data Engineering
Remote Type -
Office
Work Shift -
Day Job (India)
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
