Manager - AI Data Scientist

Lead Analyst - BI, Reporting and Data Visualization

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 Manger AI Data Scientist We are seeking a highly skilled AI Data Scientist to design develop and operationalize advanced Machine Learning solutions across enterprise environments. This role focuses on classical and deep learning experimentation statistical modelling and productiongrade ML pipelines with handson responsibility for delivering robust highperforming models using ML Studio. Responsibilities: - Lead Development of endtoend ML models including data preparation feature engineering training validation and optimization. - Conduct advanced statistical analysis and Forecasting techniques classical ML modeling and deep learning experimentation. - Build productionready ML workflows pipelines and automated training/evaluation jobs. - Utilize ML Studio for experiment tracking ML Ops model versioning and deployment. - Collaborate closely with data engineering and platform teams for scalable model deployment. - Create interpretable models and deliver clear insights visualizations and business recommendations. - Monitor production models troubleshoot performance issues and continuously refine ML systems. - Ensure models follow enterprise standards for quality fairness and responsible AI. - Technical skills - Strong handson experience with ML Studio (Azure ML Studio or equivalent) for experimentation ML pipelines and deployment. - Solid understanding of Machine Learning Deep Learning and statistical modeling concepts. - Expertise in Python and experience with ML libraries (scikitlearn Py Torch Tensor Flow). - Strong data processing and analysis skills using Pandas and Num Py. - Ability to build visualizations and insights using Matplotlib/Seaborn. - Experience deploying and managing models on cloud platforms (Azure/AWS/GCP).

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Certified Data Management Professional - RiversandRiversand, Data Analysis Certificate - SuperCode AISuperCode AI, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Microsoft Certified: Power BI Data Analyst Associate - MicrosoftMicrosoft, Tableau Desktop Specialist - EdurekaEdureka

Required Skills

Actuarial Services, Actuarial Services, Agile Methodology, AML Investigations, Client Relations, Collaboration Tools, Customer Onboarding, Data Analytics, Database Server, Databasing, Data Science, Data Visualization, Design Thinking, ESRI ArcGIS, ESRI Software, Executive Presence, Inclusion, Insight Generation, Know Your Customer (KYC), Looker Data Platform, Microsoft Power BI, Microsoft SQL Server, Microsoft SQL Server Reporting Services, People Leadership, Personal Effectiveness {+ 7 more}

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

BI, Reporting and Data Visualization

Remote Type -

Office

Work Shift -

Flex Time (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.