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
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