Undergraduate Data Science Placement
Listed on 2026-01-13
-
IT/Tech
Data Analyst, Data Engineer
Job Title
Undergraduate Data Science Placement at targetjobs UK
Key DatesFinal date to receive applications: 30th January 2026
Start Date:
1st July 2026
Location:
London
Duration: 13 months
Lexis Nexis® Risk Solutions Group (RSG) – Placement Programme offers a structured, 13‑month, non‑rotational placement in our Risk Solutions business. You will join the London‑based Threat Metrix® Professional Services team, working with real‑time digital fraud detection data to build solutions for tier‑1 global customers in Financial Services, Insurance, and e‑Commerce.
Responsibilities• Develop knowledge and analytical skills to contribute to real‑world, end‑customer problems.
• Use global fraud detection platform data to craft solutions and leverage real‑time digital identity intelligence.
• Analyse billions of transactions per month, gaining insight into online personas and helping protect revenue against cyber threats.
• Collaborate in a supportive environment to grow problem‑solving and consulting skills.
- Strong programming skills in Python and SQL; experience with analytical packages preferred.
- Interest in Snowflake architecture.
- Critical thinking with strong analytical and problem‑solving abilities; numerical degree required.
- Team player comfortable in a collaborative, inclusive environment.
- Passion for using data and statistics to solve real‑world problems.
- Desire to understand latest cybercrime trends and attack methods.
- Studying a STEM degree (All Sciences, Technology, or Maths).
All applicants must have the right to work full time in the UK.
Training & DevelopmentBenefits include a 2–3‑week induction bootcamp, a wider graduate community with socials, and a 70/20/10 learning model (70% on‑the‑job, 20% informal, 10% formal).
Diversity & InclusionLexis Nexis® RSG supports Women in Technology: 27% of our technology workforce are women, and we offer mentoring, a women’s network forum, and an ERG. We maintain 35 diversity employee networks globally, prioritising inclusive leadership. We welcome applications from candidates of diverse backgrounds and under‑represented groups.
Benefits- Hybrid working – 2 days office per week
- 25 days holiday
- 2 days paid leave for Diversity & Inclusion events and 2 days for charity volunteer days
- Travel interest‑free loans and cycle‑to‑work schemes
- Private health benefits
- Wellness programme and access to Mindfulness app
Submit your CV, include relevant experience, workshops, or hobbies. Successful candidates will be invited to a telephone interview, followed by face‑to‑face assessment workshops in February 2026, with offers confirmed by early March 2026. All applications are treated in line with our equal opportunities policy.
Equal Opportunity StatementWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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