1,631 Data Search Analyst jobs in the United Kingdom

• Collaborate with cross-functional teams to integrate data science capabilities into software products.
• Analyse and interpret complex geological and mining datasets to generate meaningful insights.
• Contribute to innovative projects such as:
  • Inferring rock properties from drilling data
  • Merging primary and response rock properties using machine learning
  • Applying self-learning models to geological data
• Build and deploy data-driven solutions that support geological decision-making.
• Apply spatial data analysis techniques to improve subsurface data interpretation.

• Background in data science with a focus on geostatistics/geology, or geology with strong data science experience
• Strong analytical and problem-solving skills
• Experience with data analysis, modelling, and visualisation tools
• Understanding of spatial and geospatial data concepts
• Ability to communicate technical insights to non-technical stakeholders
• Collaborative mindset and ability to work effectively in a team environment

• Familiarity with machine learning and self-learning algorithms
• Experience working with geological and mining datasets
• Understanding of software development tools and workflows
• Exposure to 3D data modelling or geological simulation tools

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.

• Collaborate with cross-functional teams to integrate data science capabilities into software products.
• Analyse and interpret complex geological and mining datasets to generate meaningful insights.
• Contribute to innovative projects such as:
  • Inferring rock properties from drilling data
  • Merging primary and response rock properties using machine learning
  • Applying self-learning models to geological data
• Build and deploy data-driven solutions that support geological decision-making.
• Apply spatial data analysis techniques to improve subsurface data interpretation.

• Background in data science with a focus on geostatistics/geology, or geology with strong data science experience
• Strong analytical and problem-solving skills
• Experience with data analysis, modelling, and visualisation tools
• Understanding of spatial and geospatial data concepts
• Ability to communicate technical insights to non-technical stakeholders
• Collaborative mindset and ability to work effectively in a team environment

• Familiarity with machine learning and self-learning algorithms
• Experience working with geological and mining datasets
• Understanding of software development tools and workflows
• Exposure to 3D data modelling or geological simulation tools

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.