Undergraduate Data Science Placement
Reed Business Information Limited, City of London
Undergraduate Data Science Placement
Salary Not Specified
Reed Business Information Limited, City of London
- Full time
- U
- Onsite working
- Graduate programme
Posted today, 6 Nov | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
job Ref: c12fcdcd25ad4d9ca73afdb4a3508e5c
Full Job Description
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.
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?,
- Data Programmer: You will need good programming skills in analytical packages to leverage our real time data platform (Python and SQL essential);
- 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, Economics or Maths) All applicants must have the right to work full time and live in the UK on a permanent basis.
- 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 - 2/3 days office working
- 25 days holiday with the option to buy more
- Graduate socials and events
- 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
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 2025. Whether your specialism is Statistics, Machine Learning or Applied Mathematics our internship is an ideal introduction to how we apply cutting edge technologies to our data in order to provide valuable insight for our customers.
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=ojhjmhH64O8&feature=emb_imp_woyt 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:
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