Oliver Wyman – Senior / Lead Data Scientist (AI and Generative AI) - Gurugram
Mmc Careers3–8 yrsGurugramHybridDirect career pageEst. 20–38 LPA
Posted on 4 Sept
Reach people at Mmc Careers
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Mmc Careers you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, evaluate, and deploy AI and Generative AI solutions addressing client problems such as knowledge assistants, document intelligence, workflow automation, and decision support.
- Translate business problems into AI-enabled approaches, build prototypes, reusable assets, and communicate technical findings to clients.
- Ensure responsible AI governance including model risk assessment, privacy, security, compliance, and support practical deployment of AI solutions.
Minimum Requirements
- 3 to 8 years of experience in AI/ML, data science, GenAI engineering, NLP, advanced analytics, software engineering, or related consulting/analytics roles.
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Economics, AI/ML, or related quantitative/technical discipline.
- Strong hands-on experience with Python and SQL; knowledge of GenAI concepts including LLMs, transformers, embeddings, prompt engineering, retrieval-augmented generation, fine-tuning, and model evaluation.
- Work Experience Required: 3 to 8 years as explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building AI/GenAI applications with hands-on skills in Python, SQL, cloud platforms, and modern AI frameworks, and understanding of ML fundamentals.
- Able to translate complex client business challenges into scalable AI solutions with a practical, business-impact focus in consulting or client-facing environments.
- Familiar with responsible AI governance, including model risk management, privacy, security, auditability, and deployment best practices.