Manager, 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 Manager Data Scientist! The role requires advanced analytical acumen and solution orientation. The role possesses critical thinking skills and the ability to understand and manipulate data to provide insightful observations identify trends and communicate these effectively. The role is expected to act independently to make timely and informed decisions aligned to the roles remit or to escalate as appropriate to management or others in IT as needed. The roles insight and proposed actions should strive to be strategic look beyond stop gap measures and seek to drive improvements to reporting and analysis practices. Responsibilities: - Professional experience with different regression and classification methods in implementation and deployment of project on AWS GCP and Azure cloud platform. - Follow the standard practice and guidelines while using Python SQL. - Experience with Langchain framework for Gen AI. - Experience with Dataiku on model building and deployment. - Must have intermediate understanding on Word and Excel. - The candidate must have strong consultative / listening skills ability to analyze data and translate business requirements into actionable capabilities. - Able to design Machine learning Deep learning and Generative AI architecture and its successful execution in the project. - Design develop and implement generative AI models such as GA Ns Variational Auto Encoders or transformers for specific application. - Must Demonstrate understanding of evaluation metrics specific to Gen AI task such as inception score frechet inception distance perpetual path length. - Collaborating with cross-functional teams including data scientist engineers domain experts to integrate Generative AI into product or services. - Develop and fine-tuning Generative AI models such as GPT for various applications. - Using Generative AI to work on tasks like text generation sentiment analysis chatbots and language translation using RAG and agent-based models. - Experience in using tokenization and embeddings and must have used GPT L La MA Huggingface Mistral AWS Bed Rock for deploying the models. - Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. - Ability to successfully create quick project based on Gen AI by asking questions using different scalable database for generating charts or statement using different large language models. - Evaluating the performance of generative AI models and implementing improvements based on feedback. - Ensuring ethical and responsible use of AI by addressing bias privacy concerns and fairness in AI models - Proficiency in programming language like Python SQL frameworks such as Langchain for AI model development. - Experience on Rest API Flask API Fast API.

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 -

Day Job (India)