Mathematical / Statistical Modeller
Are you an experienced statistical / modeller with strong SAS programming skills This role offers the perfect blend of hands-on model development, governance, and the opportunity to shape how statistical models are built and managed across the business.
You’ll play a key role in reviewing and strengthening existing models and frameworks, ensuring robust governance and best practice. As the team evolves, you’ll move into hands-on model design and development, building and refining statistical models in SAS — including propensity, sentiment, behavioural, density, and survival models.
Key Requirements:
- Strong, hands-on SAS programming experience – essential
- Proven experience in statistical or predictive modelling (any industry background)
- Ability to design, build, and validate models such as propensity, sentiment, or survival models
- Experience in model oversight, validation, or governance
- Strong STEM related education
- Analytical mindset with a drive to challenge and improve modelling frameworks
- Comfortable working both independently and collaboratively in a changing environment
This is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over how statistical modelling evolves and develops.
If you’re a SAS Modeller with a passion for statistical modelling and real-world problem solving — from propensity to sentiment and everything in between — this could be the perfect next step.
Please apply for full job & interview details.
West Midlands HQ – 2 days per week on-site
Permanent | £45,000 – £50,000 + benefits
Please note: All applicants must have the legal right to work in the UK – the business cannot off immediate or longer-term Visa sponsorship.
- Company
- MSA Data Analytics Ltd
- Location
- Birmingham, West Midlands, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- £40,000 - £50,000 per annum
- Posted
- Company
- MSA Data Analytics Ltd
- Location
- Birmingham, West Midlands, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- £40,000 - £50,000 per annum
- Posted