Data science roles are experiencing high demand across the United Kingdom, presenting varied opportunities for professionals. These positions encompass areas like 62 Data Science jobs in the United Kingdom
Staff Data Scientist, EMEA | London, UK
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Job Description
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us.
About the team
The Global Revenue & Organization Data Science team provides Airwallex's Leadership with the data, tooling, and insights needed to amplify Airwallex's rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore.
What you'll do
Responsibilities:
- Be the go-to data partner for the Head of EMEA
- Partner with Sales, Marketing, Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business
- Use causal inference methods to understand how macroeconomic events impact the business.
- Leverage AI to generate insights and improve business and team efficiency.
- Lead Airwallex's forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.
- Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.
- Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
- 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
- Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy.
- Expertise in causal inference methods and forecasting.
- Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R).
- Experience with data architecture technologies such as Airflow, Databricks, and dbt.
Preferred qualifications:
- Experience in technology, financial services and/or a high growth environment.
- Experience with Excel and Finance systems (e.g. Oracle).
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
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Manager Data Science
Posted today
Job Viewed
Job Description
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It** **With** **Pride.**
You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**About the role**
In this role you will:
+ Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
+ Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
+ Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization.
+ Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
+ Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
+ Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
**The experience we are looking for:**
+ A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
+ 5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
+ Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)
+ Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.
+ Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.
+ Advanced English
**What we offer**
+ Exciting work in a multi-cultural team of bright minds.
+ Global career opportunities.
+ Flexible remote work options, or - if you prefer - access to one of our modern offices.
+ All kinds of benefits depending on the location.
**More about this role**
**What you need to know about this position:**
**What extra ingredients you will bring:**
**Education / Certifications:**
**Job specific requirements:**
**Travel requirements:**
**Work schedule:**
**Relocation Support Available?**
**Business Unit Summary**
**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!**
**_Our people make all the difference in our succes_**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Excited to grow your career?**
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
**IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER**
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager
London (2–3 days per week)
Up to £120,000
A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.
The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.
This is a role, balancing individual contribution with team leadership.
What You’ll Do
- Lead data science projects focused on pricing optimisation and revenue management.
- Manage and mentor a small international team of data scientists (UK and US based).
- Build statistical and machine learning models to enhance customer value and business outcomes.
- Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
- Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
- Lead data strategy for pricing across inbound and outbound flows.
What We’re Looking For
- Proven data science experience, ideally focused on pricing and revenue optimisation.
- Proven leadership in growing and mentoring data teams.
- Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
- Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
- Hands-on experience with experimentation and causal inference.
- Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
- Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.
If this role looks of interest, please apply below.
Please note, this role cannot offer sponsorship.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager - up to £120,000 + uncapped bonuses!
Fintech unicorn. Hybrid, London.
Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.
We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.
Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!
Salary: £120,000 + bonus
Benefits: Uncapped bonus structure, work from abroad etc.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
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
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager - up to £120,000 + uncapped bonuses!
Fintech unicorn. Hybrid, London.
Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.
We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.
Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!
Salary: £120,000 + bonus
Benefits: Uncapped bonus structure, work from abroad etc.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?
Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant 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
Posted 1 day ago
Job Viewed
Job Description
Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?
Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant 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.
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Data Science Consultant
Posted 1 day ago
Job Viewed
Job Description
Data Science - Consulting
UK-based, with on-site client work as needed
We are looking for a Digital Consultant to lead the application of AI, advanced analytics, and digital tools in solving complex, high-impact challenges across sectors such as healthcare, defence, retail, and the public sector.
In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions.
This isn't just a technical role - you'll also lead teams, influence senior stakeholders, and drive operational change from idea to implementation. If you're excited by making real-world impact, not just slide decks, this is the opportunity for you.
What You'll Do:
- Lead the design and delivery of AI and digital solutions that create measurable client impact.
- Identify high-value opportunities to apply data science, AI, and automation.
- Guide multi-disciplinary teams through hands-on, agile delivery.
- Translate technical insights into actionable strategies for senior stakeholders.
- Mentor colleagues and shape the organisation's digital capabilities and culture.
What We're Looking For:
- Proven experience delivering digital/AI solutions from concept to implementation.
- Deep expertise in at least one of: AI, data science, advanced analytics, or digital tooling.
- Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders.
- Passion for solving complex problems and delivering operational change at pace.
- Adaptability, continuous learning, and a collaborative mindset.
Consulting, Data Science
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
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.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager
London (2–3 days per week)
Up to £120,000
A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.
The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.
This is a role, balancing individual contribution with team leadership.
What You’ll Do
- Lead data science projects focused on pricing optimisation and revenue management.
- Manage and mentor a small international team of data scientists (UK and US based).
- Build statistical and machine learning models to enhance customer value and business outcomes.
- Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
- Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
- Lead data strategy for pricing across inbound and outbound flows.
What We’re Looking For
- Proven data science experience, ideally focused on pricing and revenue optimisation.
- Proven leadership in growing and mentoring data teams.
- Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
- Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
- Hands-on experience with experimentation and causal inference.
- Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
- Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.
If this role looks of interest, please apply below.
Please note, this role cannot offer sponsorship.