Data Scientist

Chubb’s interview process typically starts with an online aptitude test followed by a technical interview that probes Python proficiency, data manipulation, and basic machine‑learning concepts. The final HR round assesses cultural fit and communication skills. Candidates find the technical round moderately challenging and benefit from clear problem‑solving explanations.

Chubb promotes a collaborative, inclusive environment where learning and innovation are encouraged. Employees benefit from clear growth tracks, mentorship programs, and a healthy work‑life balance supported by flexible and hybrid work options.

Currently pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics or a related field. Minimum CGPA/percentage of 6.5/70%. No active backlogs at the time of joining. Batch years 2023‑2025 are preferred. Must be available for a full‑time internship of at least 6 months.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Python, ML, NLP, LLM concepts) → Round 3: HR Interview (fit, motivation, cultural alignment)

Chubb is a global leader in the insurance industry, operating in 54 countries with a workforce of over 43,000 professionals. The company offers a broad portfolio that includes commercial and personal property and casualty, personal accident, supplemental health, reinsurance and life insurance. Its strong financial foundation, listed on the NYSE (CB) and part of the S&P 500, enables Chubb to serve a diverse client base with innovative risk solutions. In India, Chubb has embarked on an ambitious digital transformation journey, blending cutting‑edge technology with deep insurance expertise to create next‑generation products and services. At Chubb India, more than 2,500 talented individuals work in an environment that blends the agility of a start‑up with the stability of a multinational. The firm has been certified as a Great Place to Work® for three consecutive years, reflecting a culture that values collaboration, continuous learning, and employee well‑being. The organization encourages a solution‑driven mindset, where diverse perspectives are welcomed and every team member is empowered to make an impact. **Role Summary** The Data Scientist internship focuses on building AI‑driven claims solutions. Interns will dive into massive, unstructured claims datasets, extract actionable insights, and prototype large language model (LLM) workflows such as Retrieval‑Augmented Generation (RAG) and chain‑of‑thought reasoning. Working closely with senior data scientists and engineers, the intern will translate business problems into scalable data pipelines and communicate findings to both technical and non‑technical stakeholders. **Key Responsibilities** 1. Explore and clean large, unstructured claims data (PDFs, text, forms). 2. Build Python pipelines for data ingestion, feature extraction, and preprocessing. 3. Develop and evaluate LLM‑based prototypes (RAG, summarization, reasoning). 4. Visualize patterns and trends using Matplotlib, Seaborn or Plotly. 5. Collaborate with cross‑functional teams to align AI solutions with business goals. 6. Document code, methodology, and results for knowledge sharing. 7. Translate exploratory findings into clear, actionable recommendations. 8. Participate in code reviews and adopt best practices for version control and testing. 9. Stay updated with emerging AI/ML techniques and propose improvements. 10. Assist in preparing technical presentations for senior leadership. **Tech Stack** Python, Pandas, NumPy, Matplotlib/Seaborn/Plotly, scikit‑learn, NLP libraries (spaCy, NLTK), LLM frameworks (LangChain, Azure OpenAI), Git, Jupyter notebooks. **Growth Path** Successful interns can transition to full‑time Data Scientist or Machine Learning Engineer roles, with clear pathways to senior and lead positions. Chubb invests heavily in upskilling through certifications, mentorship programs, and exposure to real‑world insurance problems, enabling rapid career progression. **Why Join Chubb?** - Work on high‑impact AI projects that directly influence claim settlements and customer experience. - Be part of a globally recognized insurer with a strong commitment to employee development. - Enjoy a hybrid work model, generous benefits, and a culture that celebrates innovation and collaboration. - Gain mentorship from industry veterans and access to cutting‑edge tools and datasets. Overall, this internship offers a unique blend of technical challenge, business relevance, and professional growth within a supportive and forward‑thinking organization.