Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Undergraduate Data Science Placement

Lexis Nexis
City of London
2 days ago
Create job alert
Application Closing Date: 30th January 2026
Start Date: 1st July 2026
Location: London
Duration: 13 months

Are you looking for a paid industrial placement as part of your degree?


Do you want the opportunity to help conquer some of the next generation problems in risk data analytics?


LexisNexis® Risk Solutions Group (RSG) – Placement Programme is the perfect way to start building your career.


The Placement

You will join a structured and well-developed 13-month, non-rotational placement within our Risk Solutions business (www.risk.lexisnexis.co.uk). LexisNexis Risk Solutions is a leader in providing essential information to help customers across industry and government assess, predict and manage risk. We are excited to be seeking a Data Scientist placement candidate to join our London based ThreatMetrix® Professional Services team for 13 months, starting July 2026. Whether your interests are in Statistics, Machine Learning or Applied Mathematics, our internship is an ideal introduction to how we apply cutting edge technologies to our data to provide valuable insight for our customers.


The Role

The goal of the placement is to develop your knowledge and analytical skills so that you are able to contribute to solving real world, end customer problems as part of our ongoing engagements with a wide range of tier 1 global customers. During the placement, you will also gain valuable business insight and core consulting skills that will help them develop into a well-rounded team member.>

As a Data Scientist intern, you’ll have the opportunity to use global data from the largest real-time digital fraud detection platform to craft solutions for a range of customers. You’ll experience how to leverage real-time digital identity intelligence, analyzing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, and e-Commerce. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. You’ll work within a collaborative and supportive environment to grow your personal and problem solving skills and help deliver solutions that will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.


Apply if you are a:

  • Enthusiast Data Programmer: You will need strong programming skills in analytical packages to leverage our real time data platform, Data Analysis in Python and SQL essential;
  • A strong interest in the Snowflake architecture
  • Critical Thinker: A keen eye for detail, accuracy and strong critical thinking skills with advanced judgment capability is needed;
  • Analytical problem solver: Strong analytical and problem solving skills are required to solve the challenges facing our customers in an ever changing fraud and risk landscape - numerical degree required;
  • Enthusiastic Team Player: We are looking for a candidate who is comfortable working in a collaborative and inclusive team environment.
  • Data evangelist: you will need to be passionate in using data and statistics to solve real world problems.
  • Interested in Cybercrime prevention: a desire to understand the latest cybercrime trends and attack methods is required to deliver meaningful and effective risk models
  • Studying STEM degrees (All Sciences, Technology, or Maths)

All applicants must have the right to work full time in the UK.


Training & Development

You will receive a blend of technical and people skills development. This is important as it’s not just what you do, but how you do it that is important to us.


Initially you will be immersed into an intensive, but rewarding, 2–3-week induction bootcamp and will be part of a wider graduate community with frequent socials including charity days and diversity and inclusion events. We work to a 70/20/10 learning model with 70% of your learning on the job, 20% informal learning and 10% from formal educational learning.


Life at Lexis Nexis

What really stands us out from the crowd is our culture. We’re an agile, dynamic and forward-thinking organisation who understands the importance of looking after our staff. We pride ourselves on delivering high-quality products, providing our employees with interesting challenges for their personal and career development whilst also striking the right balance between work and personal life.


Please view the information video here: https://www.youtube.com/watch?v=SRSXVEpK-zE


Women in technology

LexisNexis® Risk Solutions Group (RSG) is very supportive of women in Technology and has been a founding signature for the Tech Talent Charter. Currently 27% of our Technology workforce are women which is much higher than the UK average of 17%. We have the following initiatives in place to support women in technology:



  • Mentoring Scheme for Women in Technology
  • Women’s Network Forum
  • Women in Technology Employee Resource Group (ERG)
  • RSG proudly support the Tech Talent Charter.

Diversity & Inclusion

At LexisNexis® Risk Solutions Group having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 35 diversity employee networks globally and prioritise ensuring inclusive leadership is part of our culture. Our aim is for every employee to be the best version of themselves. We actively welcome applications from candidates of diverse backgrounds and underrepresented groups.


If you require additional support any stage, then please let us know how we can provide adjustments to your needs. All applications are treated in line with our equal opportunities policy.


The Perks

We want our people to feel appreciated, supported and inspired, which is why we offer such a fantastic range of benefits and reward. Here is a glance at just a few:



  • Hybrid Working – 2 days office working
  • 25 days holiday
  • 2 days paid leave towards Diversity & Inclusion events and 2 days for charity volunteer days
  • Travel Interest Free Loans and Cycle to Work schemes
  • Private Health Benefit
  • Wellness programme and access to Mindfulness app

The Application Process

Click to apply and submit your CV, as part of your application include any relevant experience, workshops or hobbies to showcase your skills.


Successful candidates will be invited to a telephone interview for the team to learn more about you and your motivations to apply for this role.


Applications are open until January 2026. Final candidates will be invited to face to face assessment workshops in February 2026. We aim to confirm offers by the end of February/early March 2026.


We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.


Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.


Please read our Candidate Privacy Policy .


We 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.


USA Job Seekers:

EEO Know Your Rights.


#J-18808-Ljbffr

Related Jobs

View all jobs

Undergraduate Data Science Placement

Data Scientist - Year in Industry Programme 2026

Data Strategy & Transformation - Undergraduate Placement 2026

Data Strategy & Transformation - Undergraduate Placement 2026

Machine Learning Data Scientist for Land Modelling Industrial Placement 2026

Data Science Community Champion Industrial Placement 2026

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.