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Career guide

How to get a data scientist job as a fresher

Data scientists use statistics and machine learning to answer questions and make predictions. Knowing the theory isn't enough — interviewers want to see analytical thinking and projects you can explain end to end.
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What a Data Scientist does

  • Explores and cleans data to understand what's really in it.
  • Builds and evaluates statistical and machine learning models.
  • Designs experiments and measures the impact of changes.
  • Communicates results to technical and non-technical teams.

Projects that prove your skills

  1. 1An end-to-end prediction project: question, cleaning, features, model, evaluation and a short write-up of what you'd do next.
  2. 2An exploratory analysis of a public dataset with clear, well-labelled charts and conclusions.
  3. 3A simple A/B test analysis explaining significance and practical impact.

Data Scientist skills

What employers look for in a fresher

  • Python (pandas, NumPy, scikit-learn)

    The standard toolkit for analysis and modelling.

  • SQL

    Most real data lives in databases.

  • Statistics and probability

    Hypothesis testing, distributions and sampling are core interview topics.

  • Machine learning fundamentals

    Regression, classification, overfitting and model evaluation.

  • Data visualisation

    Charts that make a finding obvious.

  • Problem framing

    Turning a vague business question into an analysis plan.

What the interviews look like

  1. Round 1Online test: statistics, Python and SQL questions, sometimes a short case.
  2. Round 2Technical interview: ML concepts, a project deep dive and a live coding or SQL exercise.
  3. Round 3Case or managerial round: how you'd approach a business problem with data.

Questions to practise

  • What is the bias–variance trade-off?
  • How would you handle an imbalanced classification dataset?
  • Explain precision, recall and when you'd prioritise each.
  • What is a p-value, in plain language?
  • How do you prevent data leakage when training a model?
  • Walk me through your best project and what you'd improve.

Paid plans include preparation for each interview opportunity. How interview preparation works

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Our students working as Data Scientists

  • Shakshi Sahu, Data Scientist at Google

    Shakshi Sahu

    Data Scientist at Google

Read their placement stories →

FAQ

Data Scientist: common questions

Straight answers for freshers starting out.

Can freshers get data scientist jobs?

Yes, though competition is high. Strong statistics fundamentals, SQL and one or two well-explained end-to-end projects matter most.

Do I need a master's degree for data science?

Not necessarily. Many employers hire graduates who can demonstrate the skills through projects and interviews.

Should I learn deep learning first?

Start with statistics, SQL and classic machine learning. Deep learning is valuable but builds on those foundations.

More career guides

  1. Profile
  2. Prepare
  3. Interview
  4. Improve
  5. Get hired

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