Senior Data Scientist with excellent hands-on technical skills responsible for designing and building end-to-end ML/AI solutions, implementing technical strategy, and mentoring engineering colleagues to build scalable production systems.
Requirements
- 6+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, RAG, and NLP.
- Capable of implementing machine learning techniques to tackle business challenges.
- Knowledgeable in statistical analysis and data visualization tools (such as Pandas, Matplotlib, and Seaborn) for analysing and presenting data insights.
- Solid understanding of statistics and machine learning techniques.
- Proficient in feature engineering methods to improve model performance.
- Experienced in A/B testing and experimental design to assess the effectiveness of models.
- Should be able to produce high-quality Python code suitable for production.
- Capable of integrating large language models (LLMs) or multimodal models into production systems.
- Familiar with various generative AI frameworks, including LangGraph and LangChain.
- Skilled in prompt engineering techniques to optimize the performance of generative AI models.
- Knowledgeable in fine-tuning LLMs and constructing retrieval-augmented generation (RAG) pipelines.
- Working knowledge of Agentic AI and MCP concepts.
- Proficient in Git-based workflows, including GitHub Actions, CI/CD, and version control.
- Expert-level Python programming skills with experience in ML frameworks (scikit-learn, TensorFlow/PyTorch)
- Good exposure with AWS services: Lambda, Step Functions, EC2, ECS Fargate, API Gateway, SQS, SNS, SageMaker, Bedrock, RDS
- Advanced knowledge of data storage solutions: S3, DynamoDB, PostgreSQL
- Exposure in search and retrieval systems using OpenSearch/Elasticsearch
- Hands-on experience with LLMs, AWS Bedrock, OpenAI APIs, and Google Gemini models
- Expert knowledge of Docker containerization and AWS container orchestration
- Deep understanding of MLOps practices, model versioning, and deployment strategies
- Strong knowledge of software engineering best practices, Git workflows, and SDLC processes
- Able to translate business problems into problems that can be solved with Data Science
- Able to communicate technical ideas effectively to non-technical audience
- Ability to work in a team which prioritizes collaboration & problem solving over rigid hierarchy
- Curious and open-minded attitude to new approaches
- Ability to accept feedback and adopt suggestions
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
