Lead Data Scientist

Job Description

Lead Data Scientist - Cardiff - Hybrid Working

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. You can learn more about LexisNexis Risk at the link below,

risk.lexisnexis.com

About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk.

About the Role : This a Lead Data Scientist to manage a small team of data scientists. You will lead discussions with stakeholders on the requirements, deliverables, and prioritisation of projects. The role will balance supporting junior data scientists, shaping the future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling / scoring techniques.

Responsibilities
Managing a small team of data scientists building credit and fraud risk predictive models and other analytical product features
Assigning and managing projects via Agile project management tools.
Working with product owners to plan, track and deliver new analytical product features.
Developing and maintaining new frameworks, methodologies, and governance to support our strategic objectives.
Guiding stakeholders about our data science processes and requirements, ensuring that collaboration with other business teams runs smoothly.
Supporting senior leaders to shape and deliver our data science strategy.
Running analytical research projects and building predictive risk models as required.

Requirements
Experience of leading junior data scientists, either via direct line management or peer coaching.
Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences
Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders
Have expertise in data science and/or statistical analyses with experience of building advanced models.
Experience of coding languages used in the data science field (e.g. R, Python, SQL).
Experience of working with product development teams

LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.