Data Scientist

Trent’s interview process typically starts with a timed assessment that blends aptitude, statistics, and coding problems, followed by a virtual interview focusing on your past projects and analytical thinking. The final in‑person round dives deeper into case studies, business scenarios, and cultural fit. Preparation should emphasize clear communication of data‑driven insights and solid fundamentals in machine learning.

Trent Limited promotes a collaborative and inclusive work culture where learning is encouraged and ideas are valued. Employees benefit from clear career progression, mentorship programs, and a healthy work‑life balance supported by flexible timings and occasional remote work options.

Graduates (B.Tech/B.E., B.Sc., M.Tech, M.Sc.) in Computer Science, Data Science, Statistics, Mathematics, Information Technology or related fields. Minimum 60% aggregate (or CGPA 6.0/10) in the qualifying degree. No active backlogs at the time of joining. Final year students can apply if they can join within 2 months of graduation. Preference for batches 2023‑2025, but open to all freshers and experienced candidates.

Round 1: Data Science & Problem‑Solving Assessment → Round 2: Virtual Interview Round → Round 3: In‑Person Interview Round → Round 4: Offer Rollout

Trent Limited, a flagship company of the Tata Group, has carved a niche in Indian retail with iconic brands such as Westside, Zudio, and Star Bazaar. With over 300 stores across the country, Trent combines fashion, lifestyle, and technology to deliver a seamless shopping experience. The organization’s data‑driven culture fuels decisions in merchandising, inventory management, customer insights, and operational efficiency, making it a fertile ground for analytics talent. As the retail landscape becomes increasingly competitive, Trent’s AI & Data Science function is expanding rapidly to harness the power of big data, machine learning, and generative AI. The Data Scientist role sits at the heart of this transformation. Reporting to the Head of AI & Data Science, you will work closely with product managers, merchandising teams, and engineering to translate massive retail datasets into actionable insights. Your day‑to‑day responsibilities will include exploratory data analysis, building predictive models for demand forecasting, customer segmentation, and recommendation systems, as well as experimenting with GenAI tools to automate reporting and insight generation. You will also be expected to communicate findings to non‑technical stakeholders, ensuring that data‑driven recommendations are understood and implemented. **Key Responsibilities** 1. Perform end‑to‑end data analysis on sales, inventory, and customer behavior data. 2. Develop, validate, and deploy machine‑learning models for demand forecasting, price optimization, and personalized recommendations. 3. Conduct A/B tests and evaluate model performance using appropriate statistical metrics. 4. Collaborate with data engineers to design robust data pipelines and ensure data quality. 5. Experiment with Generative AI for automated report generation and insight extraction. 6. Create dashboards and visualizations that simplify complex insights for business users. 7. Document methodologies, code, and model versioning for reproducibility. 8. Stay updated with the latest research in retail analytics, deep learning, and NLP. 9. Mentor junior analysts and contribute to a culture of continuous learning. 10. Participate in cross‑functional workshops to identify new analytics opportunities. **Tech Stack**: Python (pandas, scikit‑learn, TensorFlow/PyTorch), SQL, Spark, Tableau/PowerBI, Git, Docker, AWS (S3, EC2, SageMaker), and emerging GenAI platforms. **Growth Path**: Starting as a Data Scientist, high performers can progress to Senior Data Scientist, Lead Data Scientist, and eventually Head of AI & Data Science, with opportunities to lead large‑scale analytics projects across the entire Trent ecosystem. **Why Join Trent**: You will be part of a forward‑thinking retail giant that values innovation, offers exposure to real‑world, high‑volume data, and provides a collaborative environment backed by the Tata Group’s strong ethical foundation. The role promises a blend of technical depth and business impact, making it an ideal launchpad for a data‑science career in India’s booming retail sector.