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Job Search

Method-Resourcing

York / Global

Data Scientist

  • £70,000

Job Summary

Salary Range:
£70,000
Job Level:
Visa Sponsorship Available
Apply Now

Job Description

Data Scientist | Financial Services

York (2 days per week onsite)

Salary Up to £70,000 + 15% Bonus + Benefits

Build ML solutions that actually make it into production.

We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered across the business.

This isn't a research-only environment. You'll work on real business problems, build machine learning models that drive decision-making, and collaborate closely with engineering teams to see your work deployed and used at scale.

What you'll be doing:

Partnering with stakeholders to turn business challenges into Data Science solutions

Exploring, preparing and analysing large, complex datasets

Building, testing and evaluating machine learning models

Applying techniques such as regression, classification, clustering and forecasting

Writing clean, maintainable Python code

Working alongside ML Engineers to deploy models into production

Monitoring model performance and identifying opportunities for improvement

Presenting findings to both technical and non-technical audiences

Helping establish best practices across Data Science, experimentation and model governance

We're looking for:

Commercial experience as a Data Scientist

Strong Python and SQL skills

Hands-on experience building Machine Learning models

Expertise in feature engineering, model evaluation and model selection

Experience working with large datasets

Exposure to Azure, AWS or GCP

Strong stakeholder management and communication skills

Experience taking models beyond experimentation into production is highly desirable

(No Visa Sponsorship Available)

RSG Plc is acting as an Employment Agency in relation to this vacancy.

AMRT1_UKTJ

...

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