Data Scienest

Data Scientist (Python / SQL / AI & Machine Learning)

Location: Newcastle Upon Tyne | Hybrid

Salary: Competitive + Excellent Benefits

Type: Full-time, Permanent

Overview A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function.

This is an opportunity to work with large-scale datasets, advanced analytics and emerging AI technologies to deliver meaningful business insights and measurable commercial value. You’ll play a key role in transforming complex data into actionable intelligence, supporting decision-making across areas including client analytics, operational efficiency, portfolio analysis and business performance.

Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment.

Key Responsibilities • Deliver end-to-end analytics solutions from data preparation through to insight generation

• Develop and maintain analytical models using Python, SQL and cloud-based data platforms


• Apply machine learning, AI and statistical techniques to business challenges


• Work with NLP, LLM and Generative AI technologies where appropriate


• Validate data, perform testing and ensure analytical output quality


• Monitor model performance and support ongoing optimisation and governance


• Contribute to MLOps practices including deployment, versioning and monitoring


• Translate technical findings into clear business recommendations


• Develop reusable analytical assets, datasets and reporting solutions


• Collaborate with stakeholders to identify and prioritise high-value analytical opportunities

Requirements • Commercial experience within Data Science, Analytics or a related discipline

• Strong Python and SQL development skills


• Experience applying statistical, machine learning or AI techniques to real-world problems


• Experience working with structured datasets and analytical reporting solutions


• Understanding of model validation, testing and performance monitoring


• Strong analytical and problem-solving capabilities


• Ability to communicate technical concepts to non-technical stakeholders


• Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering or similar quantitative discipline

Desirable • Experience with Microsoft Fabric or modern cloud-based data platforms

• Exposure to NLP, LLMs or Generative AI technologies


• Experience with MLOps practices and CI/CD pipelines


• Understanding of data governance and model governance frameworks


• Previous experience within financial services, fintech or regulated environments


• Leadership or mentoring experience

What’s on Offer • Opportunity to work with advanced analytics, machine learning and AI technologies

• Hybrid working arrangement


• Exposure to large-scale datasets and business-critical projects


• Collaborative and highly skilled data environment


• Ongoing professional development and career progression opportunities


• Opportunity to influence strategic decision-making through data-driven insights

Apply If you’re a Data Scientist who enjoys solving complex business problems through analytics, machine learning and AI, and you’re looking to join a growing data-driven organisation where your work will have genuine impact, apply now or get in touch for a confidential discussion.

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