1,847 Lead Data Scientist jobs in the United Kingdom

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Lead Data Scientist

GU1 Guildford, South East Hays Technology

Posted 11 days ago

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Job Description

full time

Your new company
Join a fast-growing software business headquartered in Guildford, specialising in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation.
Your new role
As Lead Data Scientist, you'll take ownership of a small but growing data team, currently consisting of two Analysts and one Data Scientist. Reporting directly to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals.
What you'll need to succeed

  • Proven experience in a senior or lead data science role
  • Strong hands-on skills in Python and SQL
  • Solid experience with Machine Learning, AI, and Large Language Models (LLMs)
  • Previous people management experience (ideally managing Analysts/Data Scientists)
  • Ability to implement and improve data science processes and workflows
  • Excellent stakeholder management and communication skills
  • Experience working in a fast-paced, agile tech environment
  • Must be UK-based and eligible to work without sponsorship

What you'll get in return

  • Up to 110,000 base salary
  • Performance and company-wide bonus
  • Private healthcare
  • Pension scheme
  • Opportunity to shape a growing data function in a high-growth tech business
  • Fully remote role with occasional visits to the Guildford HQ

What you need to do now


If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

NG1 The Park, East Midlands Tate

Posted 14 days ago

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Job Description

full time

Lead Data Scientist

* Based in Nottingham

* 4 days a week onsite

* Pay 50k-60k depending on experience

Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle.

The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment.

Role and Responsibilities:

* Develop and deploy predictive models to improve customer outcomes across multiple business areas.

* Lead model implementation and policy setting to support autonomous decision-making.

* Design and execute test-and-learn strategies to inform business decisions.

* Deliver actionable insights through structured analysis and clear communication.

* Identify opportunities for process improvement and innovation using data.

Key Skills and Experience:

* 5+ years of experience delivering end-to-end data science solutions in a commercial setting.

* Strong technical expertise in machine learning, predictive modelling, and AI.

* Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools.

* Experience applying Gen AI tools or techniques is highly desirable.

* Solid understanding of stakeholder engagement and business communication.

* Educated to degree level (2:1 or above) in a numerical discipline.

* Ability to work independently and collaboratively within a small team (5 people).

Don't miss this opportunity to take a leading role in shaping data science strategy within a dynamic financial services organisation. Apply now with your most up-to-date CV!

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

Surrey, South East £95000 - £110000 Annually Hays Technology

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

Your new company
Join a fast-growing software business headquartered in Guildford, specialising in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation.
Your new role
As Lead Data Scientist, you'll take ownership of a small but growing data team, currently consisting of two Analysts and one Data Scientist. Reporting directly to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals.
What you'll need to succeed

  • Proven experience in a senior or lead data science role
  • Strong hands-on skills in Python and SQL
  • Solid experience with Machine Learning, AI, and Large Language Models (LLMs)
  • Previous people management experience (ideally managing Analysts/Data Scientists)
  • Ability to implement and improve data science processes and workflows
  • Excellent stakeholder management and communication skills
  • Experience working in a fast-paced, agile tech environment
  • Must be UK-based and eligible to work without sponsorship

What you'll get in return

  • Up to 110,000 base salary
  • Performance and company-wide bonus
  • Private healthcare
  • Pension scheme
  • Opportunity to shape a growing data function in a high-growth tech business
  • Fully remote role with occasional visits to the Guildford HQ

What you need to do now


If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

Nottinghamshire, East Midlands £50000 - £60000 Annually Tate

Posted 14 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

Lead Data Scientist

* Based in Nottingham

* 4 days a week onsite

* Pay 50k-60k depending on experience

Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle.

The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment.

Role and Responsibilities:

* Develop and deploy predictive models to improve customer outcomes across multiple business areas.

* Lead model implementation and policy setting to support autonomous decision-making.

* Design and execute test-and-learn strategies to inform business decisions.

* Deliver actionable insights through structured analysis and clear communication.

* Identify opportunities for process improvement and innovation using data.

Key Skills and Experience:

* 5+ years of experience delivering end-to-end data science solutions in a commercial setting.

* Strong technical expertise in machine learning, predictive modelling, and AI.

* Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools.

* Experience applying Gen AI tools or techniques is highly desirable.

* Solid understanding of stakeholder engagement and business communication.

* Educated to degree level (2:1 or above) in a numerical discipline.

* Ability to work independently and collaboratively within a small team (5 people).

Don't miss this opportunity to take a leading role in shaping data science strategy within a dynamic financial services organisation. Apply now with your most up-to-date CV!

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

London, London Harnham

Posted today

Job Viewed

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Job Description

Lead Data Scientist London Private Equity £140,000 - £50,000 benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue. In this role you will lead the technical teams that deliver value. The Role - Lead Data Scientist You will be: Working on multiple engagements within portfolio companies across various different industry sectors Delivering key Data Science / AI initiatives that drive value for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important A focus on using data science to create value is essential A strong interest in working across a variety of different industry sectors and problem areas. BENEFITS Up to 50,000 base salary Competitive bonus The opportunity to join a world-class and growing team HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.
This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

London, London Harnham

Posted today

Job Viewed

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Job Description

Lead Data Scientist London - 3 days a week Up to £125,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship
This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

London, London Harnham

Posted today

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Job Description

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring 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. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity
This advertiser has chosen not to accept applicants from your region.
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Lead Data Scientist

London, London Mentmore

Posted today

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Job Description

permanent
Lead Data Scientist £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into a leadership role and grow into the function Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.
This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

London, London Mentmore

Posted today

Job Viewed

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Job Description

permanent
Lead Data Scientist £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into a leadership role and grow into the function Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.
This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

Harnham

Posted today

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Lead Data Scientist – ML Focused Remote – UK Up to £110,000 Benefits About the Role We’re hiring a Lead Data Scientist to join a fast-growing, specialist data consultancy delivering high-impact solutions across sectors such as energy, public sector, manufacturing, and health. You’ll play a key role in solving complex challenges using cutting-edge ML or GenAI approaches, working end-to-end across projects in a client-facing capacity. This is a leadership position, ideal for someone who thrives in a consultancy environment and wants to deliver real-world impact. Key Responsibilities Design and deliver data science solutions end-to-end, from discovery through deployment. Lead project teams, mentor junior colleagues, and manage delivery standards across multiple workstreams. Communicate complex findings clearly to senior stakeholders and clients. Support business development through proposal writing and pre-sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture.
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