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For Companies At a Glance
- Tasks: Analyse data and develop machine learning models to combat fraud and enhance customer experience.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud prevention.
- Benefits: Enjoy generous holidays, health perks, and extensive learning opportunities.
- Other info: Collaborative team environment with opportunities for career growth and community involvement.
- Why this job: Make a real-world impact by protecting billions in revenue through innovative data solutions.
- Qualifications: Experience in data science, proficiency in Python and SQL, and strong analytical skills.
The predicted salary is between 50000 - 70000 £ per year.
Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You'll leverage a real-time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet, and every persona connected to it. On top of driving innovation projects, you'll be continually collaborating with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers. The comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.
Responsibilities
- Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards.
- Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours.
- Develop internal tools to streamline the model training pipeline and analytics workflows.
- Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities.
- Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences.
- Building an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc.
- Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities.
- Experience in a data science role, ideally within the fraud, risk, or payments domain.
- Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus).
- Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems.
- Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail.
- Have extensive multi-tasking and prioritisation skills.
About the business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
Team
You will be part of a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers.
Benefits
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life Assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts scheme via Perks at Work.
Data Scientist in City of Westminster employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, machine learning models, and any relevant work. This gives potential employers a taste of what you can do and helps us stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Practice common data science problems and be ready to discuss your thought process. We want to see how you tackle challenges, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at LexisNexis Risk Solutions.
We think you need these skills to ace Data Scientist in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data analysis, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; show us how you’ve used them! Include specific examples of how you've applied SQL and Python in your previous roles. This will help us understand your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story. Explain why you're passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Data Inside Out
Before the interview, brush up on your data analysis skills and be ready to discuss specific projects where you've used SQL and Python. Prepare to explain how you approached problem-solving in those scenarios, especially in relation to fraud detection or risk management.
✨Showcase Your Machine Learning Mastery
Be prepared to talk about your experience with machine learning models. Highlight any hands-on projects you've completed, focusing on how you developed, evaluated, and deployed these models. If you have experience with MLOps principles, make sure to mention that too!
✨Craft a Compelling Story with Data
Practice presenting your findings in a clear and engaging way. Think of a few examples where you turned complex data into actionable insights. This will demonstrate your ability to communicate effectively, which is crucial for the role.
✨Stay Agile and Adaptable
Given the fast-paced nature of the job, be ready to discuss how you've managed multiple priorities in previous roles. Share specific examples of how you adapted to changing circumstances while still delivering high-quality results.