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Data Scientist

Risk Solution Group
London
4 weeks ago
Applications closed

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Data Scientist

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Data Scientist

Data Scientist

About the business:LexisNexis Risk Solutions is a key partner in risk assessment. Within our Business Services vertical, we offer solutions that help businesses drive revenue, improve operational efficiency, and enhance customer experience. Our solutions address challenges in Anti-Money Laundering, Identity Verification, Fraud Prevention, and Customer Data Management. Learn more athttps://risk.lexisnexis.com.

About the team:You will join a team utilizing global data from our real-time fraud detection platform to develop solutions for enterprise clients.

About the role:Your expertise in data analysis, statistical modeling, and machine learning will have a direct impact by reducing customer friction, lowering fraud losses, and increasing profitability. You'll work with a platform analyzing billions of transactions monthly across sectors like Financial Services, Insurance, e-Commerce, and On-Demand Services. This role involves collaborating with product, engineering, and business teams, and building models to combat sophisticated fraud attacks.

Responsibilities:

  1. Design and implement machine learning or rule-based models adhering to best practices and governance standards.
  2. Utilize SQL and Python, along with your quantitative skills, to develop features that detect evolving fraud patterns.
  3. Create internal tools to optimize model training and analytics workflows.
  4. Apply problem-solving skills to turn uncertainties into actionable insights.
  5. Deliver compelling presentations to internal and external stakeholders, highlighting data-driven insights.
  6. Develop expertise in cybercrime types such as account takeover, scams, social engineering, CNP fraud, and money laundering.
  7. Manage multiple priorities effectively in a dynamic environment.

Requirements:

  1. Experience in data science roles, preferably in fraud, risk, or payments sectors.
  2. Proficiency in Python and SQL; experience with BI tools like Tableau, PowerBI, or SuperSet is advantageous.
  3. Hands-on experience with machine learning model development, evaluation, deployment, and familiarity with MLOps principles for scalable workflows and monitoring.
  4. Strong presentation skills and the ability to communicate insights clearly and effectively.
  5. Excellent multitasking and prioritization skills in a fast-paced setting.

Learn more about the LexisNexis Risk team and our workhere.

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At LexisNexis Risk Solutions, we value diversity and inclusion, believing that diverse perspectives foster innovation. We encourage applications from candidates of all backgrounds and underrepresented groups.

We are committed to an accessible hiring process. If you require accommodations, please complete ourApplicant Request Support Form.

Read ourCandidate Privacy Policy.


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