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Data Scientist

Fleet Mortgages

England

Hybrid

GBP 40,000 - 70,000

Full time

17 days ago

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Job summary

An established industry player is seeking a skilled Data Scientist and Engineer to leverage data and engineering for innovative solutions. This role involves collaborating across departments to identify data-driven solutions, applying machine learning techniques to analyze complex datasets, and designing algorithms to solve business challenges. You will build and deploy data models, ensuring their reliability and scalability, while effectively communicating insights to stakeholders. Join a dynamic team that values data-driven decision-making and offers a range of attractive benefits, including a generous pension scheme and private medical insurance.

Benefits

11% non-contributory pension scheme
25 days annual leave
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
Free eyecare vouchers

Qualifications

  • Degree in Statistics or Mathematics with strong analytical skills.
  • Proficiency in Python, R, or Scala, and SQL Server.

Responsibilities

  • Collaborate to identify data-driven solutions and apply machine learning techniques.
  • Design and implement models to solve business problems and optimize performance.

Skills

Problem-solving abilities
Analytical skills
Attention to detail
Python
R
Scala
SQL
Machine learning
Statistical analysis
Data manipulation techniques

Education

Degree in Statistics
Degree in Mathematics
Related field

Tools

Snowflake
SQL Server 2016+
Power BI

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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