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Data science and analytics jobs in Bengaluru

Data scientist jobs in Bengaluru: statistics, experimentation and machine learning skills, interview rounds and how to stand out.

Data scientists turn data into decisions: they run experiments, build forecasting and recommendation models, and explain what the numbers mean to people who are not technical. In Bengaluru they work in product companies on pricing, growth and recommendations, in banks on credit and fraud, and in global analytics centres for retail, healthcare and finance firms.

The line with machine learning engineering is blurry. As a rule, data scientist roles weigh statistics and business judgement more, and machine learning engineer roles weigh production code more.

What the work involves

  • Design and analyse A/B tests, and tell teams whether a change really worked.
  • Build models for forecasting, churn, fraud, pricing or recommendations.
  • Write SQL and Python to explore data and find what drives a metric.
  • Present findings to product and business leaders and recommend what to do.

The market right now

From the open roles Brightspark is tracking today, collected from employers' career sites and open job boards. Updated through the day.

51open roles
19in Bengaluru
32remote, open to India

Work mode, where stated: Remote 32

Skills asked for most

  1. Python 38
  2. SQL 32
  3. Machine Learning 29
  4. Statistics 22
  5. Automation 21
  6. LLMs 15
  7. AI Agents 13
  8. Spark 10
  9. Observability 9
  10. Azure 8
  11. MLOps 8
  12. Anthropic API 7

Hiring the most

  1. Amazon 8
  2. Cisco 2
  3. Everpure 2
  4. HighLevel 2
  5. HP 2
  6. Jobs for Humanity 2
  7. Astreya 1
  8. beehiiv 1
  9. Chess.com 1
  10. Cision 1

Skills employers look for

  • Statistics and experiment design
  • SQL
  • Python with pandas and scikit-learn
  • Machine learning fundamentals
  • Data visualisation
  • Communicating results clearly

How interviews usually run

Rounds usually include SQL, a statistics and probability round (hypothesis tests, p-values, sample sizes, common pitfalls), a machine learning round on how models work and how to evaluate them, and a case study: a metric dropped, so find out why; or design an experiment for a new feature.

Some companies give a take-home dataset and ask for a short report.

How to stand out

  • Show business impact, not just model accuracy: revenue, savings or decisions your work changed.
  • Be precise about statistics; interviewers notice hand-waving about significance.
  • Practise explaining a model to someone with no technical background.

Courses to learn the skills

Hand-picked for the skills this role asks for most. Start with the free tutorials; the paid courses go deeper and often include hands-on labs.

Free

Paid

Paid courses are rated 4.0 or higher by at least 1,000 learners. Prices vary with frequent sales, so check before you buy.

Disclaimer

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