Data Science Intern
Delhivery
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E. or M.Tech
- Must know
- Machine learningOperationsStatisticsBudgetingData analysisData visualization
- Nice to have
- Deep learningNLPLLMsPyTorch
- Work
- On-site in Gurugram · internship
- Pay
- Not stated by the employer.
- Skill demand
- Statistics52%Operations18%Machine learning5%Budgeting1%of 101 similar fresher jobs posted in India this week
- Listed
- 13 Nov 2026 · still open
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About the Role
We are looking for a curious and analytical Data Scientist Intern to join our Data Science team at Delhivery. The candidate will work on real-world business problems involving large-scale logistics data, predictive modelling, machine learning, and optimization. The role offers an opportunity to work with cross-functional teams and build data-driven solutions that improve operational efficiency, customer experience, and business performance.
Key Responsibilities
- Collect, clean, process, and analyse large datasets to identify trends and business insights.
- Assist in developing and implementing machine learning and statistical models.
- Work on predictive analytics, forecasting, classification, and optimization problems.
- Perform exploratory data analysis (EDA) and feature engineering.
- Build dashboards and visualizations to communicate insights.
- Collaborate with Data Science, Engineering, Product, and Operations teams.
- Evaluate model performance and contribute to improving model accuracy.
- Document analytical findings and present recommendations to stakeholders.
Requirements & Tech Stack
- Strong programming skills in Python.
- Good understanding of statistics, probability, and linear algebra.
- Knowledge of machine learning algorithms and fundamentals.
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
- Understanding of SQL and database concepts.
- Knowledge of data visualization techniques.
- Strong analytical, problem-solving, and logical reasoning skills.
Good to Have:
- Exposure to Deep Learning, NLP, or Generative AI.
- Familiarity with TensorFlow or PyTorch.
- Experience working on academic or personal data science projects.
- Knowledge of cloud platforms such as AWS or GCP.
Educational Qualifications
- B.Tech / M.Tech in Computer Science, Data Science, Statistics, Mathematics, or related disciplines.
- Students from premier engineering institutes or strong quantitative backgrounds preferred.