1,317 Lead Data Scientist jobs in the United Kingdom
Lead Data Scientist - Predictive Analytics
Posted 16 days ago
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Job Description
Lead Data Scientist
Posted today
Job Viewed
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
Lead Data Scientist
Posted today
Job Viewed
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
Lead Data Scientist
Posted today
Job Viewed
Job Description
Lead Data Scientist
Up to £150,000
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
Lead Data Scientist
Posted today
Job Viewed
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
Lead Data Scientist
Posted today
Job Viewed
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
Lead Data Scientist
Posted 2 days ago
Job Viewed
Job Description
A fast-growing fintech scale-up is looking for a Lead Data Scientist to drive data-led decision-making across credit risk and pricing, lead a small team, and play a key role in shaping their AI strategy.
With a 4x increase in lending over the past year and ambitions to double again in the next, this is an exciting time to join a business scaling rapidly in the embedded lending space.
What You’ll Do
- Lead and mentor a team of two data scientists
- Support development of credit risk and pricing models
- Perform ad hoc analysis and advise stakeholders across Credit Risk, Pricing, Product, and Engineering
- Assess and shape the company’s approach to AI
- Be hands-on when needed, though this is not a deeply technical role
What We’re Looking For
- Background in lending or pricing data science, as well as more broad modelling experience
- Experience from aggregators, pricing optimisation platforms, fintechs, or insurance companies could be useful
- Prior experience leading or mentoring data scientists
- Strong communication and stakeholder management skills
- Proficiency in Python
The Offer
- Salary: £80,000–£105,000
- Hybrid working: 3–4 days per week in the London office
- Regulated by the FCA
You’ll report to the Head of Data and collaborate closely with senior leadership, including the CEO, in a business that values transparency, smart data use, and responsible innovation in lending.
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Lead Data Scientist
Posted 2 days ago
Job Viewed
Job Description
A fast-growing fintech scale-up is looking for a Lead Data Scientist to drive data-led decision-making across credit risk and pricing, lead a small team, and play a key role in shaping their AI strategy.
With a 4x increase in lending over the past year and ambitions to double again in the next, this is an exciting time to join a business scaling rapidly in the embedded lending space.
What You’ll Do
- Lead and mentor a team of two data scientists
- Support development of credit risk and pricing models
- Perform ad hoc analysis and advise stakeholders across Credit Risk, Pricing, Product, and Engineering
- Assess and shape the company’s approach to AI
- Be hands-on when needed, though this is not a deeply technical role
What We’re Looking For
- Background in lending or pricing data science, as well as more broad modelling experience
- Experience from aggregators, pricing optimisation platforms, fintechs, or insurance companies could be useful
- Prior experience leading or mentoring data scientists
- Strong communication and stakeholder management skills
- Proficiency in Python
The Offer
- Salary: £80,000–£105,000
- Hybrid working: 3–4 days per week in the London office
- Regulated by the FCA
You’ll report to the Head of Data and collaborate closely with senior leadership, including the CEO, in a business that values transparency, smart data use, and responsible innovation in lending.
Lead Data Scientist
Posted 27 days ago
Job Viewed
Job Description
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.
Position Overview:
As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service.
You'll collaborate with an international, cross-functional team of engineers, architects, product managers and analysts to identify and prioritize enhancements to Peacock's personalization models. Your responsibilities will touch everything from feature creation to model evaluation and deployment, and you'll have opportunities to work on cutting edge machine learning like foundation models and reinforcement learning.
Responsibilities include, but are not limited to:
+ Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies.
+ Drive the collection and manipulation of new data and the refinement of existing data sources.
+ Translate complex problems and solutions to all levels of the organization.
+ Collaborate with software and data architects in building real-time and automated batch implementations of data science solutions and integrating them into the streaming service architecture.
+ Drive innovation of the statistical and machine learning methodologies and tools used by the team.
Qualifications/Requirements:
+ Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Machine Learning, Mathematics, Operations Research or another quantitative field or equivalent.
+ 5+ years of combined experience in machine learning in industry or research.
+ Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
+ Working experience with deep learning and graph methodologies in machine learning. Strong experience with deep learning using TensorFlow.
+ Experience implementing scalable, distributed, and highly available systems using Google Could Platform.
+ Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
+ Proficient in Python. Java or Scala is a plus.
+ Experience in data processing using SQL and PySpark.
+ Experience working with foundation models and other GenAI technologies.
Desired Characteristics:
+ Experience in media analytics and application of data science to the content streaming and TV industry.
+ Good understanding of reinforcement learning algorithms.
+ Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering.
+ Experience with large-scale video assets
+ Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools.
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to
Lead Data Scientist
Posted 6 days ago
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Job Description
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead Data Scientist
Lead Data Scientist - Financial Crime
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action.
Role
As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams.
In this position, you will:
- Perform proof-of-concept projects, engage in product design and build prototypes.
- Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products.
- Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data.
- Think about how derived insights can be turned into new products and services we can offer to external clients.
- Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally.
- Write white papers, patents, and client facing data visualisations.
- Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models.
Skills Required
Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically:
- You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx.
- You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this.
- You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes.
- You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes.
- You are happy and excited to explore new programming languages, technologies, and techniques.
- You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed.
As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable:
- Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters).
- Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow.
- Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.