Data Scienest

TyneStack Partners Ltd
Ne158Nx, NE15 8NX, United Kingdom
3 days ago
£50,000 – £100,000 pa

Salary

£50,000 – £100,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
2 Jun 2026 (3 days ago)

Benefits

Hybrid Working Ongoing Professional Development Career Progression Opportunities Influence Strategic Decision-Making

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.

Related Jobs

View all jobs

Data Scientists (SC Cleared)

Experis Hayden, Gloucestershire, GL51 0SP, United Kingdom
£620 – £680 pd On-site Clearance Required

Data Scientist II, RufusX Science UK

Amazon London, United Kingdom
On-site

Data Platform Solutions Architect (Professional Services)

Databricks London, United Kingdom
Hybrid

Data Management Specialist, London

Isomorphic Labs London, United Kingdom
On-site

Data Scientist (Analytics), London

Isomorphic Labs London, United Kingdom
On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.