Lead Consultant â Data Scientist â Generative AI of & Advanced Analytics
Lead Consultant â Data Scientist â Generative AI of & Advanced Analytics
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Job Description
Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to 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 whats possible this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity courage and innovation our teams implement data technology and AI to create tomorrow today. Get to know us at and on LinkedIn X YouTube and Facebook.
Inviting applications for the role Lead Consultant Data Scientist Generative AI of & Advanced Analytics
Job Summary:
We are looking for a highly motivated Data Scientist with experience in Generative AI (GenAI) to join our advanced analytics this role you will blend classical data science with cutting-edge GenAI techniques (LLMs embeddings RAG) to solve real-world business problems build intelligent systems and push the boundaries of AI adoption across domains.
Key Responsibilities
Build and deploy Generative AI models using large language models (LLMs) like GPTGemini Claude LLaMA etc.
Design and develop Retrieval-Augmented Generation (RAG) pipelines for enterprise search and summarization.
Perform exploratory data analysis feature engineering and apply statistical methods to derive insights.
Work with vector databases (e.g. FAISS Pinecone Chroma) and embedding models for semantic search.
Develop and fine-tune prompts for prompt engineering few-shot learning and function calling.
Collaborate with product and engineering teams to design AI-driven features and solutions.
Conduct A/B testing build dashboards and contribute to ML pipelines in production.
Stay updated with GenAI research and open-source tools; evaluate new models and frameworks.
solving high-impact problems involving structured and unstructured data using a wide range of ML/DL techniques.
The ideal candidate is hands-on self-driven and passionate about turning data into intelligent systems.
Strong Capabilities on SQL Python Vscode/pytorch and have come across using Tensorflow Keras
Qualifications we seek in you!
Minimum Qualifications
Required:
Bachelors or masters degree in data science Computer Science Statistics or a related field.
experience in data science machine learning or applied AI roles.
Hands-on experience with GenAI platforms (OpenAI Anthropic Hugging Face Cohere etc.).
Strong Python skills: pandas scikit-learn transformers LangChain etc.
Experience working with LLMs embeddings or chatbot development.
Familiarity with MLOps model versioning and deployment in cloud environments (AWS/GCP/Azure).
Experience with RAG architecture vector databases and knowledge graphs.
Prior work in text summarization document intelligence or multi-modal AI.
Understanding of LLM fine-tuning PEFT/LoRA and instruction-tuned models.
Publications open-source contributions or GenAI product demos are a strong plus.
Strong in Python with experience in NumPy pandas scikit-learn.
Proficiency in TensorFlow PyTorch or JAX.
Familiarity with deep learning concepts: backpropagation activation functions loss optimization.
Experience with cloud platforms: AWS GCP or Azure.
Comfortable with version control CI/CD pipelines and containerized environments (e.g. Docker).
Tools & Stack Youll Work With
LLMs: GPT-4 Gemini
Libraries: Hugging Face Transformers LangChain OpenAI API
Vector Stores: FAISS Pinecone Weaviate
ML Libraries: Scikit-learn MLflow DVC PyTorch TensorFlow XGBoost scikit-learn
Storage: PostgreSQL S3 BigQuery
Deployment: Docker FastAPI Airflow Kubernetes
Cloud: AWS/GCP/Azure
Why join Genpact
Lead AI-first transformation Build and scale AI solutions that redefine industries
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your careerGain hands-on experience world-class training mentorship and AI certifications to advance your skills
Grow with the best Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace
Committed to ethical AI Work in an environment where governance transparency and security are at the core of everything we build
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 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets 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.
Required Experience:
Contract
Employment Type
Full-Time
