Join Pearson in Bengaluru as a Deep Learning Intern and take a meaningful first step into the world of data science. This structured, guided internship lets you spend your time training and optimising deep neural networks, learning directly from practitioners who ship data and ML products used at…
About Pearson
About Pearson
Pearson plc is a British multinational education company and the world's leading learning company, headquartered in London, England. Founded in 1844 and listed on the London Stock Exchange as a constituent of the FTSE 100 Index, with a secondary listing on the New York Stock…
Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend
Interview & Selection Process
4 rounds — typical selection flow for this role:
1The selection process for the Deep Learning Intern at Pearson 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 deep learning concepts
Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Deep Learning, PyTorch 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.