Data Scientist

Company: Fleet Mortgages
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Job Description:

Job Title: Data Scientist and Engineer

Location: Fleet, Hampshire with hybrid working

Hours: Full-time, 35 hours.

There may be some requirements to work outside of core hours to support software upgrades and releases.

Company Overview

Fleet Mortgages Ltd is a specialist Buy to Let Mortgage lender committed to harnessing the power of data-driven insights to drive innovation and growth. We’re seeking a talented individual to join our team to help us leverage data and engineering to create cutting-edge solutions.

What you will be doing

  • Collaborate across departments to understand business objectives and identify data-driven solutions.
  • Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights.
  • Design and implement algorithms, models, and experiments to solve business problems and optimise product performance.
  • Build and deploy MI and data models into production environments, ensuring their reliability and scalability.
  • Communicate findings and insights to both technical and non-technical stakeholders through reports, visualisations, and presentations.
  • Manage the full life cycle of MI, PBI reports, and Dashboard.
  • Work closely with software developers and data analysis teams to produce innovative reports and dashboards.

What we are looking for

  • Degree in Statistics, Mathematics, or a related field.
  • Excellent problem-solving abilities, analytical skills, and attention to detail.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Experience with infrastructure technologies (e.g., Snowflake).
  • SQL Server 2016+ with excellent T-SQL skills.
  • Understanding of relational databases.
  • Data modelling and data warehousing experience.
  • Strong communication skills to convey complex technical concepts to various stakeholders.
  • Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques.
  • Experience with documenting processes.
  • Familiarity with data visualisation tools such as Power BI.

What we can offer you

  • 11% non-contributory pension scheme from day 1 of employment.
  • 25 days annual leave, increasing with length of service.
  • Annual leave buying scheme.
  • Private medical insurance.
  • Annual discretionary bonus.
  • Free annual flu jabs.
  • 4x life assurance.
  • 75% income protection.
  • Enhanced maternity and paternity pay and leave.
  • Free eyecare vouchers.
  • 2 days paid volunteering days per year.
  • Electric Vehicle Salary Sacrifice Scheme.

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Posted: April 6th, 2025