North Co Recruitment are working with a leading UK retail insurer to appoint a Senior Data Scientist into their pricing function. It's a role with genuine technical range - deep learning, predictive analytics and machine learning - and a direct line of sight into how your models shape business decisions, rather than sitting behind someone else's.
What you'll do
- Build and evaluate machine learning models, from deep learning through to predictive analytics, that solve genuine business problems.
- Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment.
- Apply a broad statistical toolkit, from GLMs and random forest to NLP, clustering and scenario analysis, to generate insight that gets acted on.
- est and develop new external data sources to keep the team's analytical edge sharp.
- Partner directly with in-house technology and data delivery teams to move solutions from build into production.
- Review the work of junior team members, sharing good practice as the function grows.
- Spot and pitch new opportunities across the business where data science can add real value.
What we're looking for
- Proven experience in a data science role, delivering data-driven solutions that support genuine business decisions.
- Strong proficiency in Python for data analysis, modelling and machine learning.
- Hands-on experience building and evaluating machine learning models.
- Confident statistical modelling skills across techniques such as GLMs, decision trees, random forest and NLP.
- Working knowledge of SQL, data structures, ETL and data integration.
- A degree in Mathematics, Statistics, Data Science or another quantitative field.
- Insurance experience or exposure to Databricks is a bonus, not a requirement.
- Occasional in-person collaboration at Haywards Heath or Manchester offices.
If you're looking for a Senior Data Scientist role with genuine technical range, real influence over how your models get used, and a business that's serious about flexible hybrid working, we'd be keen to speak.
Salary: £40,000 - £52,000 base, plus discretionary bonus
Location: Remote First, Occasional travel to Haywards Heath or Manchester Offices.
Please note, the client is unable to offer sponsorship for this opportunity.
For more information or to discuss other opportunities, reach out to Tom Parker, visit our website or follow our LinkedIn page.
