Data Scientist

Fleet Mortgages; Fleet; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

Fleet Mortgages is seeking a talented Data Scientist and Engineer to leverage data and engineering for innovative solutions. In this full-time role, you will collaborate across departments to apply machine learning and develop algorithms while delivering impactful insights. You will enjoy a hybrid working model and a comprehensive benefits package.

Benefits

11% non-contributory pension scheme

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 per year

Electric Vehicle Salary Sacrifice Scheme

Qualifications

• Proficiency in programming languages such as Python, R, or Scala required.
• Experience with SQL Server and Snowflake is crucial.
• Strong communication skills to convey complex technical concepts.

Responsibilities

• Apply machine learning and statistical techniques to analyse complex datasets.
• Collaborate across departments to identify data-driven solutions.
• Design and implement algorithms to solve business problems.

Skills

Problem-solving

Analytical skills

Attention to detail

Data visualization

Machine learning

Statistical analysis

Data manipulation techniques

Education

Statistics, Mathematics, or a related field

Tools

Python

R

Scala

SQL Server 2016+

Snowflake

Power BI

Job description

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