Data Scientist

About this role

Not quite right? These jobs in Bengaluru, Karnataka match the same skills — apply to a few to improve your chances.

Machine Learning Engineer

Eightfold

In OfficeBengaluru, Karnataka

Apply

Cloud and DevOps Engineer

SRKay Consulting Group

In OfficeBengaluru, Karnataka

Apply

Data Engineer

SRKay Consulting Group

In OfficeBengaluru, Karnataka

Apply

High Code Engineer

SRKay Consulting Group

In OfficeBengaluru, Karnataka

Apply

Skills you'll use

What you'll do

• Explore large datasets to surface patterns, relationships and modelling opportunities
• Build, train and evaluate machine-learning models for real product and business problems
• Engineer features, handle missing data and build reproducible data pipelines
• Design and analyse A/B tests and quantify the impact of product changes
• Validate models for accuracy, bias, drift and generalisation before rollout
• Work with engineering to move models from notebook to production
• Visualise and present results so non-technical stakeholders can act on them
• Document experiments, assumptions and results for reproducibility

Who can apply

• Bachelor's/Master's degree in Data Science, Statistics, Mathematics, Computer Science or a related quantitative field
• 0–2 years of professional experience — 2023–2026 graduates and freshers with strong project work are encouraged to apply
• Strong Python for data work — pandas, NumPy, scikit-learn, matplotlib/seaborn
• Solid statistics: probability, distributions, hypothesis testing, regression
• Understanding of core ML — supervised vs unsupervised, train/test splits, cross-validation, overfitting
• Good SQL for extracting and joining data from warehouses
• Familiarity with notebooks, Git and reproducible analysis practice
• Bonus: exposure to deep learning (TensorFlow/PyTorch), NLP or recommendation systems
• Ability to frame a business problem as a measurable modelling problem
• Clear communication and intellectual honesty about what the data does and does not show

Perks & benefits

Interview & selection process

6 rounds — typical selection flow for this role:

1. 1Resume & profile screening
2. 2Online assessment — statistics, Python and SQL
3. 3Technical interview — ML fundamentals and past projects
4. 4Case round — framing and solving a data problem
5. 5HR discussion & culture fit
6. 6Offer letter

About ShareChat

Searching for “ShareChat jobs” or “jobs at ShareChat”? You’re in the right place.