1,694 Mbda jobs in the United Kingdom

Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.

You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.

This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.

• Build and deploy advanced geospatial and telematics models from the ground up
• Design data products that optimise movement patterns and reduce inefficiencies
• Lead technical direction as the most senior IC
• Work with product and engineering partners to deliver production-ready solutions
• Ensure models deliver measurable impact across efficiency and experience

• Proven expertise in geospatial, telematics, or spatial data science
• Strong experience building and deploying end-to-end data products in production
• Excellent skills in modelling movement, sensor, and GPS datasets
• Track record of operating at a senior IC level, setting technical standards
• Experience in high-growth or data-first environments is desirable

• Up to 130K
• Equity and performance-based equity bonuses
• Private healthcare
• Pension contribution

If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.

We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.

We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.

Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.

You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.

This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.

• Build and deploy advanced geospatial and telematics models from the ground up
• Design data products that optimise movement patterns and reduce inefficiencies
• Lead technical direction as the most senior IC
• Work with product and engineering partners to deliver production-ready solutions
• Ensure models deliver measurable impact across efficiency and experience

• Proven expertise in geospatial, telematics, or spatial data science
• Strong experience building and deploying end-to-end data products in production
• Excellent skills in modelling movement, sensor, and GPS datasets
• Track record of operating at a senior IC level, setting technical standards
• Experience in high-growth or data-first environments is desirable

• Up to 130K
• Equity and performance-based equity bonuses
• Private healthcare
• Pension contribution

If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.

Data Science Manager

Up to £120,000

London (Remote/Hybrid)

Company:

Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.

Responsibilities:

• Lead and deliver scalable statistical models and analyses that drive business decisions
• Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
• Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
• Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
• Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Data Science Manager

Remote (UK-Based)

Up to £75,000

The Company

This UK-based start-up has achieved rapid growth in just two years, now boasting a team of ~40 people across divisions. Following a successful funding round and with a strong pipeline ahead, they continue to scale at pace.

They specialise in predictive analytics and KPI tracking across a broad range of companies and industries. Their predictive insights empower hedge funds and investors with critical performance data, ahead of public earnings reports.

The Role

As a Data Science Manager , you’ll take ownership of the end-to-end development of KPI prediction models and manage a team of data scientists, helping refine their workflows and ensure high-quality deliverables.

You will:

• Lead and mentor a team of data scientists in building predictive models.
• Oversee data cleaning, feature engineering, and model development pipelines.
• Build and maintain robust, scalable linear regression and statistical models for KPI forecasting.
• Drive improvements in internal tooling and API integrations.
• Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions.
• Play a key role in product innovation, helping shape how new data products are designed and delivered.

What They're Looking For

• 5+ years’ experience in data science or a closely related field.
• Proven leadership experience — mentoring or managing junior data scientists.
• Expert Python programming skills (essential).
• Strong grasp of linear regression, statistical modeling, and data processing best practices.
• Proficient in SQL (MySQL preferred).
• Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus.
• Familiarity with Docker, time series forecasting, or LLM technologies is advantageous.
• A background or exposure to finance is useful but not mandatory.
• Bachelor’s degree (or higher) in a quantitative or technical field.
• Strong coding samples (e.g., GitHub projects).
• Practical experience building production-level models and data pipelines.
• Ability to bridge data science and product development goals.

If this role looks it could be of interest, please reach out to Joseph Gregory, or apply here.