552 Lead Data Scientist jobs in the United Kingdom

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.

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


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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.

Lead Data Scientist
Contract Type: Permanent

Nottingham - Full time office (Please only apply for this role if you can work full time 5 days a week in Nottingham)
Salary: 50k-60k

Monday to Friday core office hours

We are recruiting a Lead Data Scientist on behalf of a fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques.

About the Role:

As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy, credit risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics.

Key Responsibilities:

• Own and develop predictive models to improve customer outcomes across multiple business domains.
• Lead model deployment and policy setting to enhance autonomous decisioning.
• Design and implement test-and-learn strategies that influence key business decisions.
• Deliver actionable insights through structured analysis and clear communication.
• Continuously seek and identify opportunities for process improvement through data.

Key Skills & Experience:

• Proven experience delivering end-to-end data science solutions in a commercial environment.
• Strong technical expertise in predictive modelling, machine learning, and AI.
• Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI.
• Excellent problem-solving, communication, and stakeholder management skills.
• Experience in applying Gen AI tools or techniques is highly desirable.
• Educated to degree level (2:1 or above) in a numerical discipline.

What You'll Bring:

• A proactive, self-motivated approach to solving real-world business problems.
• The ability to work both independently and collaboratively within a team of ~5.
• A high level of discretion and professionalism when handling sensitive data.
• A mindset focused on innovation, continuous learning, and delivering outcomes.

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.

Lead Data Scientist – ML Focused

Remote – UK

Up to £90,000 + 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.

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

Lead Data Scientist

Hybrid - London 1 day per week

Up to £85,000

About the Role

We are working with a high-growth performance marketing and technology company who are looking for a new Lead Data Scientist to join the team.

You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes.

Reporting directly to the Director of Data, you’ll take ownership of projects across areas such as customer lifetime value, Propensity, and experimentation, whilst also acting as a data lead for major clients.

Initially hands-on, this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months.

Key Responsibilities

• Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation.
• Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results.
• Design and deploy machine learning models and optimisation algorithms in production environments.
• Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling.
• Mentor and guide junior data scientists, establishing best practices and scalable workflows.
• Help grow and shape the data science team and its role within the wider business.

What We’re Looking For

• Strong technical foundation with proficiency in Python, SQL, and cloud platforms.
• Proven experience in deploying machine learning models or optimisation algorithms into production.
• Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools.
• Demonstrated experience across key use cases such as:
• Customer Lifetime Value (CLV) modelling
• Propensity scoring and lead prioritisation
• Budget allocation and bidding optimisation
• Experimentation, A/B testing, causal inference, MMM
• Advanced analytics (e.g. marginal returns curves, supply-demand modelling)
• Strong communication skills with the ability to simplify complex technical concepts for stakeholders.
• Leadership potential with a willingness to coach and develop others.

Please note, that this role cannot offer sponsorship.

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

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