Job Title:Data Scientist and Engineer
Location:Fleet, Hampshire with hybrid working
Hours: Full-time, 35 hours per week.
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
#J-18808-Ljbffr