586 Model Evaluation jobs in the United Kingdom
Staff Data Science
Posted 7 days ago
Job Viewed
Job Description
Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
Data Science Engineer
Posted 7 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Data Science Engineer
Posted 7 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Staff Data Science
Posted 7 days ago
Job Viewed
Job Description
Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
Data Science Manager
Posted 6 days ago
Job Viewed
Job Description
Location: Kingston Upon Thames
About Unilever
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to Brighten Everyday Life, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world .
Are you passionate about using data to drive evidence-based decision making? Can you work with sizeable datasets and manipulate them in a logical way to elicit insights with clarity?
We are looking for a senior data scientist that thinks in a clear and organised manner to help us tackle challenging business problems with data and a mathematical approach. The right candidate would be able to work under time-pressure, generating accurate and complex analysis. The role holder would have an ability to explain complicated concepts to a lay-person and think creatively about problem-solving.
Overview
The Unilever People Analytics team is a pioneering group of statisticians, data scientists and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and marketing data.
The role encompasses discovering and rationalising historical patterns in large data sets, developing predictive models, creating automated data solutions and researching machine learning techniques that are proprietary to Unilever. It also involves working to enhance the team's infrastructure by introducing new tools and technologies in collaboration with our IT and Data Foundation partners.
What we are looking for
We are seeking a candidate that can work with speed and accuracy, looking to apply their problem- solving, mathematical and programming skills to business questions through a people-lens. The successful candidate would be able to demonstrate a thirst for learning and a passion for using data to generate insights. There will be frequent and varied opportunities to develop your business acumen and present complex analysis to senior business leaders. Projects are very varied and require a combination of technical skills as well as an understanding of the business context. Mentoring team members in the application of analytical techniques will be a core requirement.
An understanding of Generative AI techniques (including Retrieval-Augmented Generation) and experience of building solutions with Generative AI would be an advantage.
A mature attitude to developing relationships with multiple stakeholders, and tenacity to drive projects forward to tight deadlines and the ability to solve problems on your own will be the key to your success in this role.
At least three years working in a similar capacity would be advantageous to your application although no prior HR experience is needed. Success will be defined through application of your analytical techniques.
Technical Skills and Qualifications
A 2:1 or above from a recognised university in a quantitative subject. A demonstrable passion for machine learning / data science or statistics is crucial.
A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks would be a plus, but not essential.
Knowledge of Python would be essential as well as good working knowledge of SQL.
What We Offer
Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, free gym, a discounted staff shop and shares. You'll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.
Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.
Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more , click here: Equity, Diversity & Inclusion ( Fraud
Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money. In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs. These types of attacks are becoming more common as more people are looking for employment in the economic climate.
How is Unilever tackling this?
Many of Unilever's recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down.
What can I do?
If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat.
Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!
Job Category: Human Resources
Job Type: Full time
Industry:
Data Science Manager
Posted 9 days ago
Job Viewed
Job Description
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
Manager Data Science
Posted 18 days ago
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.
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Data Science Manager
Posted 2 days 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 2 days 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 2 days 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