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. We are looking for a skilled Data Science professional to manage a variety of data science tasks. This role will involve utilising expertise in data science to derive MI and insights from data, develop algorithms, and build robust data-driven solutions to support our company's objectives. 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. 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 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 the Relational Database 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. 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 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