Senior Principal Engineer - Data Science
Mumbai - Hiranandani, India
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
MarshDescription:
- Understand requirements and work with various stakeholders across the world.
- Keep yourself updated on the latest developments in machine learning and AI
- Lead the projects/ideas associated with machine learning and AI.
- Problem-solve within the constraints of a corporate IT environment.
- Learn about the Marsh and the business unit’s business
- Have a mindset for solving mathematical problems and process challenges.
What you need to have:
- Bachelor’s/Master’s degree in Computer Science/Statistics/Mathematics/Economics/ Engineering discipline
- 5-7 years of experience in a DevOps setup working exclusively on Python and AI/ML
- Experience with GitOps tools.
- Experience with version control systems (Git) and repositories (GitHub).
- Knowledge of database systems (SQL or NoSQL)
- Ability to think independently and explore ideas with a strong background in statistics, mathematics, and domain knowledge, along with proficiency in data manipulation and analysis tools (e.g., pandas, NumPy, scikit-learn).
- Data skills - Strong coding skills Python, ability to improve and optimize models using statistical parameters
Technical Skills:
- Machine Learning: build, calibrate and test machine learning models.
- Transformation: feature creation, data cleansing, re-expression.
- Visualization: exploratory data analysis, intuitive presentation of findings. App development.
- Hands-on experience in UI development using JavaScript and CSS
- Text extraction from unstructured documents using RAG
- Data Ingestion using API connections
- Document classification
- LLM and Vector Stores
- Code optimisation, including Threading
- Prompt engineering.
BAU monitoring and improvements:
- Testing and rigor before new releases.
- Streamlining and improving code, including GiTHub.
- Monitoring Virtual Machine and validating automated emails.
Soft Skills:
- Understanding requirements, excellent communication skills and stakeholder management are crucial skills.
- Ability to communicate complex data in a simple and actionable way.
What makes you stand out?
- Understanding of cloud platforms like AWS, Azure, or GCP. (Optional)
- Familiarity with container technologies such as Docker and Kubernetes
- Familiarity with Node.js and AngularJS framework.
Hands-on experience with CI/CD tools like Jenkins, Ansible, and Travis
Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Angular Ansible APIs AWS Azure CI/CD Classification Computer Science Data analysis DevOps Docker Economics EDA Engineering GCP Git GitHub JavaScript Jenkins Kubernetes LLMs Machine Learning Mathematics ML models Node.js NoSQL NumPy Pandas Prompt engineering Python RAG Scikit-learn SQL Statistics Testing
Perks/benefits: Career development Flex hours Insurance
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