Applied Scientist Intern

About this internship

Skills you'll use

What you'll do

• Formulate real problems as measurable ML/optimisation tasks
• Prototype, benchmark and iterate on modelling approaches
• Design and analyse rigorous offline and online experiments
• Collaborate with engineers to productionise winning models
• Write clear technical reports on methods and results
• Document work clearly and act on feedback

Who can apply

• Pursuing or recently completed a degree in CS/IT/Statistics/Maths/Data Science or related
• Foundational knowledge of Python, Machine Learning, Deep Learning, Statistics
• Strong analytical thinking, communication and a proactive attitude
• Ability to work in a team and meet deadlines
• Based in or open to working from Bengaluru

Perks & benefits

Interview & selection process

4 rounds — typical selection flow for this role:

1. 1The selection process for the Applied Scientist Intern at Barclays is structured, merit-based and typically involves 4 evaluation rounds followed by an HR discussion (about 5 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic machine learning concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Machine Learning, Deep Learning and problem-solving Round 4: Technical Interview 2 / Case Study — a hands-on data/ML case or take-home task discussion with the team Round 5: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.

About Barclays

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