Data Scientist

Role Overview

The Data Scientist role combines statistical analysis, machine learning, and data engineering techniques to solve business problems, improve processes, and support a data-driven culture across the organisation.

What You Will Do

Collect, clean, and validate large, structured and unstructured data sets from multiple sources, develop and deploy statistical models, machine learning algorithms, and predictive analytics solutions, and communicate findings through compelling visualisations, dashboards, and presentations.

Why It Might Be a Fit

The ideal candidate will have strong knowledge of statistical methods, machine learning, and predictive modelling, with experience in data visualisation tools, big data technologies, and cloud platforms.

Requirements

• Strong knowledge of statistical methods, machine learning, and predictive modelling
• Advanced SQL and Excel
• Proficiency in programming languages such as Python or R
• Solid experience with data visualisation tools – preferably Power BI
• Familiarity with big data technologies (e.g. Spark, Hadoop) and cloud platforms (e.g. Azure, AWS)
• Understanding of data engineering principles and ETL processes
• Analytical thinking and problem-solving mindset
• Strong attention to detail and data accuracy
• Ability to communicate complex insights clearly to non-technical audiences
• Curiosity and continuous learning mindset
• Collaborative approach with strong stakeholder engagement skills

Benefits

• Competitive salary
• Work-life balance – 37.5 hours per week, hybrid working from our Portsmouth or Warrington office
• 25 days’ holiday plus bank holidays and a day off for your birthday (FTE)
• Wellbeing support – market leading EAP including 24/7 advice line, counselling for you and your immediate family, menopause support and virtual GP appointments
• Financial support – financial coaching & support through our EAP, a discount platform access, car sharing scheme, discounted gym memberships, free flu vaccinations
• Positive culture with a sociable atmosphere, casual dress code, food and drinks provided in the offices at great business park locations