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Company Description Noggin HQ is a VC-backed financial technology company based in Newcastle upon Tyne. Our mission is to build state of the art models that reshape credit scoring in a fairer and smarter way. Role Description To succeed in this role, you must enjoy a fast-paced, high-execution culture, and maintain exceptional standards at a critical stage. In particular, you will: • Design, build, and maintain machine learning models for use in credit decisioning., • Collaborate with software engineers in deploying the models into production environments., • Own model lifecycle management and model performance monitoring that is delivered to the board., • Use Open Banking transaction data to develop innovative credit risk solutions, fraud risk solutions and affordability solutions for our customers (lenders)., • Collaborate closely with the Founders, Senior Leadership Team, and Technical Team, to shape the product roadmap., • Be a self-starter who can take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills. Tech stack • AWS/GCP, • Python - Preferred, • Docker Preferred or Kurbenetes, • SQL/PostgreSQL, • Git, • Nginx, • Flask or Fast API, • CI/CD, API development & Management, NLP, Machine Learning Experience and skills • 5+ years of commercial experience as a Data Scientist building machine learning models., • Relevant degree, e.g., Computer Science, Machine Learning, Operations Research., • Previous commercial experience with Open Banking data and building consumer credit risk scorecards preferred., • Domain relevant experience, e.g., have worked at an FCA/PRA-regulated firm, including banks, lenders, financial data companies, credit risk companies, Credit Reference Agencies., • Comfortable with AWS and Cloud Infrastructure., • Understand ISO 27001 requirements. Benefits • There are significant opportunities for progression and pay increases throughout the year, depending on performance, contribution and impact., • Learning and development opportunities, where relevance is evidenced, can be paid for by the company., • 25 days holiday + bank holidays., • Company-wide bonuses should commercial targets be hit. How we work: We have an office based in Newcastle upon Tyne, and as such, thoroughly encourage candidates to apply who live in the North East.

DATA ANALYST (PRODUCT) Fully Remote | Up to £55,000 + 10% Bonus + Equity | Permanent THE OPPORTUNITY A fast-growing membership platform connecting two sides of a marketplace is looking for a Product Data Analyst to join their expanding data team. The company is planning an exit in 1-2 years, meaning equity could pay out in a meaningful timeframe — a rare and genuinely exciting upside on top of a strong base package. The data team has been built from the ground up over the last six months and now includes a Data Manager, Data Engineer, Senior Analytics Engineer, and Data Scientist. They've recently introduced DBT and Databricks, and this role sits within the Product arm reporting into the Data Manager. This is a high-autonomy, high-impact role — you'll work directly with product managers, engineers, and UX designers on projects that shape how the platform grows and how members experience it. THE ROLE You'll be the embedded analytics partner to the product team, working across member experience, growth, and product performance. Day-to-day responsibilities include: • Delivering clear, accurate analysis that informs product decisions and business priorities, • Running discovery pieces on user behaviour across web and app journeys, • Owning SQL-led data exploration, modelling, and validation, • Building and maintaining dashboards to support self-serve analytics, • Setting up and auditing event tracking to ensure accurate data, • Supporting experimentation from design through to interpreting results, • Leading enablement sessions to upskill stakeholders on data and self-serve tools App Behaviour — Auditing how users engage with the app, identifying gaps in understanding, and pulling together documentation around key metrics. Virality — Understanding how the platform grows through word of mouth. Identifying platform advocates and exploring how to turn regular users into advocates through research and experimentation. Member Experience — Analysing how members use the platform with a focus on ensuring they're successful in finding what they need. WHAT THEY'RE LOOKING FOR • Strong SQL proficiency and confidence working with large datasets, • Experience with BI or data visualisation tools (any stack), • Ability to work autonomously and deliver high-quality analysis independently, • Comfortable partnering with product managers and cross-functional stakeholders, • Solid grounding in product or user behaviour analytics within ecommerce, platform, or subscription environments, • Proactive, curious mindset with strong communication skills, • Up to £55,000 base salary, • 10% annual bonus, • Equity (exit expected within 1-2 years), • Fully remote with offices in London and Brighton Stage 1: 30-minute screen Stage 2: Take-home dataset — present back findings and Q&A Interested? Send your CV across and I'll be in touch.

Do you want to build data science solutions that improve lives, not clicks? Would you thrive working directly with healthcare and public sector clients on the front lines of care delivery? Are you looking for impact-led projects where you own delivery end-to-end? A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors. Known for embedding hands-on technical teams with clients, they specialise in delivering real-world impact across complex, regulated environments. With a strong consulting culture and growing AI footprint, they’re tackling meaningful public health challenges using ML, NLP and simulation. Expect high visibility, autonomy, and the opportunity to shape an expanding capability. You’ll work with public health & social care stakeholders to solve critical challenges — from fall prevention using clinical data to streamlining patient care pathways. The role combines technical depth with consulting breadth, requiring both hands-on ML work and the ability to influence delivery at scale. They’re hiring at Lead (3–5 years’ experience) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML and NLP models for public health and social care, • Work with structured data, clinical notes and unstructured healthcare datasets, • Partner with client teams to define, iterate, and deliver data-driven solutions, • Lead multidisciplinary delivery teams and translate insights into real-world KPIs Key Details • Salary: £80,000 – £150,000, • Working model: On-site 3+ days/week with UK healthcare clients, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

A UK-based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: • Python, • PyTorch or TensorFlow, • scikit-learn, • Spark, • Kafka, • Databricks, • LangChain and RAG-based GenAI systems, • Cloud-native Azure environment Important Details: • Fully remote across the UK, • Up to £80,000 - £100,000 (DOE), • 2-3 stage interview process, • No sponsorship available Interested, or know someone who would be? Click apply or get in touch directly on

Are you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. Step 1 - Full Data Science Career Training. You will begin your data science journey by studying a selection o

My client is looking for a Data Scientist to join its growing Integrity Analytics team in Newcastle. Performing exploratory data analysis, visualisation, and interpretation.

Degree in a quantitative discipline such as Data Science, Computer Science or Mathematics. Due to our continued growth in the field of Integrity Analytics, our Integrity Solutions Business Line (UK office in Newcastle upon Tyne) requires a Data Scientist to work with the existing data science and en

A public sector agency in the United Kingdom is seeking a Data Scientist to enhance governmental fraud detection through data analysis. The successful candidate will conduct analyses using Python and SQL, develop products using cloud-based services, and communicate findings to stakeholders.

A leading IT consulting firm in the United Kingdom seeks an Entry Level Data Scientist to drive innovative solutions for electricity networks.

The Data Scientist will play a crucial role in the business to harness new data science opportunities and methods. Working with other teams as part of the wider data function driving insights, data quality, data-led decisions and to drive business improvement. This is a great time to join an organis

A leading government digital service provider seeks a Data Scientist to influence automation and AI effectiveness.The role involves hands-on modelling and project delivery on the ServiceNow platform.Applicants should have a degree in STEM and expertise in Python, machine learning, and analytics.This

Life at CGI is rooted in ownership, teamwork, respect and belonging. That’s why we call ourselves CGI Partners rather than employees.

Senior Data Scientist – Product Analytics (Contract). Senior Product-focused Data Scientist. You’ll play a pivotal role in guiding junior team members and fostering a culture of data excellence across the organization.

A commercially minded data scientist who understands gambling datasets, player behaviour, and betting mechanics, and can apply statistical thinking within a live product environment. Clear progression into Senior Data Scientist roles. We are seeking a Data Scientist with.

Are a data scientist or advanced analytics specialist with real, applied experience. Are you a data scientist who wants to take ideas out of notebooks and into the real world?. Acting as the hands-on AI / advanced analytics lead within a newly formed data function.

This is a standout opportunity to lead high‑impact data science projects within a large, data‑mature ecommerce environment. Mentor data scientists and contribute to the growth of the team. Teams work collaboratively, innovate quickly, and use data to influence key commercial decisions.

Day1Data is a fast-growing B2B data analytics startup helping marketing and finance teams measure incrementality & make smarter marketing decisions. Growth opportunities - A chance to build your career at a fast-paced data business, working on AI projects. From marketing mix modelling to forecasting

Experience working closely with other data scientists, data engineers' software engineers, data managers and business partners. A leading company is hiring a Data Scientist who has experience with Azure, Python, SQL, ML/NLP/GenAI and ML system design. Experience and skills required for the Data Scie

Work closely with the wider Data team to onboard and explore new sources of data relevant for work deliveryHave good knowledge of the data and business processes within the business domain you are working with, understanding the data lineage and ensuring the use of the data is appropriate and has in

Our Principal Data Scientist & Machine Learning Researcher sits within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems.

What will I be doing?Applying advanced analytics, visualisation, and data science techniques to business challengesDeveloping and deploying machine learning models and statistical solutionsWriting efficient SQL and prototyping new metricsStructuring large, ill-defined problems into clear, actionable

Collaborate closely with other Data scientists and our Engineering Team to advance our groundbreaking ReflectAI® technology. Experience as a data scientist within a startup / high growth environment. You will be joining our Data Science team working on our powerful ReflectAI® tracking technology,

We’ve spent a lot of time building a data platform that lets data scientists actually test ideas quickly. You won't just be handed a dataset and told to find patterns. If imperfect real‑world data frustrates you more than it energises you, this probably isn’t the right role.

A fast-growing consumer technology company in Greater London seeks a Senior Data Scientist to build and optimise machine learning models that enhance customer experience.

Contract Senior Data Scientist – Marketing Science. Contract Senior Data Scientist.

Act as a technical point of referral for Data Scientists advising on modelling approaches, data quality, coding standards, and solution design. You’re a hands‑on data scientist who enjoys solving real problems with data, and you communicate your thinking with clarity and confidence. As a Senior

You are building from scratch; part of a data organisation of around 30 engineers, analysts, and data scientists, but embedded in our finance squad. Senior Data Scientist - Strategic Finance. As a Senior Data Scientist, Strategic Finance, you will own the simulation of Relay's network.

Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e. I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to jo

A leading data science firm in the United Kingdom seeks a skilled Data Scientist to analyze complex datasets and develop innovative solutions. The successful candidate will work with data experts and stakeholders to drive business growth, utilizing skills in Generative AI and traditional AI techniqu

Build and own ML models and data workflows on large, messy datasets. Much of the work is greenfield, with responsibility for defining data, modelling, and experimentation standards from first principles. Hands‑on experience with large, noisy datasets.

The Senior Data Scientist role is critical in leading data-driven initiatives and building advanced analytics capability within the organisation. Mentor and develop junior data scientists, conducting code reviews and providing technical guidance. The role involves architecting and delivering complex

A leading healthcare consultancy in the UK is looking for a Senior Data Scientist to join their data and analytics team. Candidates should possess strong Python and SQL skills, a background in statistics, and experience working with healthcare data. Responsibilities include leading data science work

Proven experience applying data science techniques to telematics or IoT datasets. As our Lead Data Scientist, you’ll develop, test and embed advanced telematics models that help us price smarter, understand driver behaviour, and reduce risk. You’ll collaborate closely with pricing, underwriting

About the job**We are searching for a dynamic Lead Data Scientist to join our team and evolve, build, and lead our portfolio of AI, Machine learning and sophisticated data science solutions. As part of the global data science and innovation team, you will serve as a representative and ambassador for

As a Data Science Intern, you ll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. If you want to develop as a Data Scientist throughout yo

My client is recruiting for a Data Scientist to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).

Candidates should have 5-8 years of experience in Data/Analytics, ideally within a financial institution. A growing fintech platform in Greater London is seeking a Data Analyst to develop and validate statistical models for analyzing non-performing loan portfolios.

A consulting firm seeks a Credit Data Scientist - Manager to lead client engagements and drive development in credit risk analysis.

A leading AI hospitality platform is seeking a Data Scientist to join their team in Camden.

A leading SaaS company in the RegTech space is seeking a Principal Data Scientist to architect and scale their AI-driven compliance platform. Ideal candidates should have over 8 years of experience in Data Science and a robust understanding of the regulatory environments.

We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise‑wide AI capability. Proven experience in Head of or lead‑level Data Science, AI or Machine Learning roles within enterprise environments. Demonstrable experience delivering end��

A leading global technology company in Greater London seeks to enhance its capabilities through the development of scalable AI platforms and cutting-edge analytics.Candidates will be responsible for general analytics and implementing intelligent systems to drive business growth and operational effic

You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability. Mentor and coach junior data scientists and analysts. As a Senior Data Scientist

A leading global alternative investment firm is seeking a Data Scientist focused on alternative data to uncover insights for investment strategies. You will work with large datasets, apply advanced statistical methods, and develop tools for analysts.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale