Data Scientist

FORT; Warrington; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Salary up to £50,000

Flexible hybrid working from Warrinton

25 days holiday + bank holidays + (and

birthday off

37.5-hour working week

Private wellbeing support

Employee discounts and discounted gym

Supportive, collaborative working

Warrington-based role

Job summary

FORT is seeking a Data Scientist to turn complex datasets into actionable insights. You will apply SQL, Power BI and statistical modelling to uncover trends, develop predictive models and support data‑driven decision making across the business.

This hybrid role is based in Warrington and offers a practical, impact‑driven environment with opportunities to improve reporting, analytics capabilities and customer outcomes while collaborating with stakeholders across teams.

Qualifications

• Around 3+ years' experience in Data Science, Data Analytics or a similar analytical role.
• Strong SQL and Power BI experience.
• A solid understanding of statistical modelling, predictive analytics and data analysis.
• Experience with Python or R would be highly desirable.
• Comfortable working with large datasets and communicating findings to non-technical stakeholders.
• Financial services, credit risk or pricing experience would be advantageous, but isn't essential

Responsibilities

• Analysing complex datasets using SQL to identify trends and opportunities
• Developing and improving statistical and predictive models
• Building and maintaining Power BI dashboards and reports
• Working with stakeholders to understand business challenges and translate them into actionable insights
• Supporting improvements in data quality, reporting processes and analytical capabilities
• Monitoring model performance and identifying opportunities for improvement

Skills

SQL

Power BI

Statistical modelling

Python or R

Job description

Data Scientist (SQL / Power BI / Statistical Modelling)

Hybrid – Warrington

Up to £50,000

We're working with a growing, technology-led business in the financial services sector that's continuing to invest in its data and analytics capabilities.

Data plays a central role in how the business operates, from understanding performance and identifying trends to improving commercial decision-making and customer outcomes.

They're now looking for a Data Scientist to join the team and help turn complex datasets into meaningful insights, develop statistical models and improve how data is used across the organisation.

The Why? (just a couple of highlights…)

Real commercial impact – Your analysis and models will directly influence business decisions and performance

More than just reporting – A chance to get involved in statistical modelling, predictive analytics and solving real business problems

Growing data capability – Join a business continuing to invest in its technology, data and analytics functions

The What?

You'll be working with large datasets, using SQL, Power BI and statistical techniques to uncover trends, develop predictive models and provide actionable insights to stakeholders across the business.

This is a hands‑on analytical role with a strong focus on statistical modelling and practical data science, rather than purely AI or machine learning research.

You'll also play a key role in improving reporting capabilities and helping the business make smarter, data‑driven decisions.

Key Things You'll Be Doing

• Analysing complex datasets using SQL to identify trends and opportunities
• Developing and improving statistical and predictive models
• Building and maintaining Power BI dashboards and reports
• Working with stakeholders to understand business challenges and translate them into actionable insights
• Supporting improvements in data quality, reporting processes and analytical capabilities
• Monitoring model performance and identifying opportunities for improvement

What You'll Bring

Around 3+ years' experience in Data Science, Data Analytics or a similar analytical role

Strong SQL and Power BI experience

A solid understanding of statistical modelling, predictive analytics and data analysis

Experience with Python or R would be highly desirable

Comfortable working with large datasets and communicating findings to non-technical stakeholders

Financial services, credit risk or pricing experience would be advantageous, but isn't essential

The Benefits? (Skinny)

• Salary up to £50,000
• Flexible hybrid working from Warrington
• 25 days holiday + bank holidays + birthday off
• 37.5-hour working week
• Private wellbeing support, including virtual GP and counselling services
• Employee discounts and discounted gym memberships
• Supportive, collaborative working environment