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# Senior Pricing Data Scientist

- **Company:** North Co Recruitment
- **Location:** Manchester, UK (Remote available)
- **Experience:** Expert
- **Salary:** £40,000.0 - £52,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Integration, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, Random Forest, Deep Learning, Data Delivery, Databricks
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2879208547-senior-pricing-data-scientist

## About the Role

* 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.

## Description

* 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.


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