2,942 Junior Data Scientists jobs in the United Kingdom
Lead AI Engineer - Machine Learning & Data Science
Posted 4 days ago
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Job Description
Responsibilities:
- Lead the design, development, and deployment of AI and machine learning models.
- Oversee the end-to-end lifecycle of AI projects.
- Mentor and manage a team of AI engineers and data scientists.
- Identify and evaluate new AI technologies and methodologies.
- Develop scalable and robust AI solutions.
- Collaborate with cross-functional teams to integrate AI into business processes.
- Ensure the ethical and responsible development of AI systems.
- Present technical findings and strategic recommendations to stakeholders.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive experience (5+ years) in AI/ML development and deployment.
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of deep learning, statistical modeling, and data science principles.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Proven leadership and team management skills.
- Excellent problem-solving and analytical abilities.
- Strong communication and presentation skills.
Data Science Graduate Programme - Machine Learning Focus
Posted 4 days ago
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Job Description
Programme Highlights:
- Gain comprehensive training in data analysis, statistical modeling, machine learning algorithms, and data visualization.
- Work on diverse projects across various business units, applying your skills to solve critical challenges.
- Develop and implement predictive models, classification systems, and other machine learning solutions.
- Learn to clean, transform, and prepare large datasets for analysis.
- Collaborate with senior data scientists and engineers, receiving mentorship and guidance.
- Utilize cutting-edge tools and technologies in the data science landscape.
- Contribute to the development of data-driven strategies and insights.
- Participate in workshops, seminars, and networking events to foster professional growth.
- Build a strong foundation for a successful career in the field of data science and AI.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, Engineering, etc.).
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in Python or R programming languages.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work autonomously and manage time effectively in a remote environment.
- Enthusiasm for data science and continuous learning.
Junior AI & Machine Learning Engineer - Data Science Focus
Posted 7 days ago
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Job Description
As a Junior AI & Machine Learning Engineer intern, you will immerse yourself in the exciting world of AI, assisting our data science and engineering teams in developing, training, and deploying machine learning models. This is a fantastic chance to apply your academic knowledge to practical challenges, gain exposure to cutting-edge technologies, and build a strong foundation for your future career.
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large datasets for machine learning model training.
- Support the development and implementation of machine learning algorithms and models under the guidance of senior engineers.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Help in the evaluation and testing of model performance using various metrics.
- Contribute to the documentation of code, models, and experimental results.
- Collaborate with team members on assigned tasks and projects in a fully remote setting.
- Learn and apply best practices in software development and data science.
- Participate in team meetings and contribute ideas for potential AI solutions.
- Gain exposure to cloud platforms and MLOps principles.
- Assist in troubleshooting and debugging machine learning pipelines.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Foundational understanding of machine learning concepts and algorithms.
- Proficiency in Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, crucial for a fully remote role.
- Eagerness to learn and a proactive attitude towards challenges.
- Ability to work independently and manage time effectively in a remote environment.
- A genuine passion for AI and its potential applications.
Data Science Manager
Posted today
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Job Description
Senior Data Science Manager
Brighton - 1 day a week
Up to £100,000
About the Role
We are working with an innovative organisation that has developed a next-generation GenAI product, with thousands of users engaging in rich conversations daily. This is a unique opportunity to shape and lead the Data Science function at the heart of a high-growth, AI-driven product.
As Senior Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery.
This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing to be hands-on with the technical challenges that come with scaling AI at speed.
Key Responsibilities
- Leading, mentoring, and growing a team of Data Scientists, fostering a high-performance and collaborative culture.
- Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions.
- Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices.
- Acting as a subject matter expert internally and externally, including with key customer stakeholders.
- Translating business requirements into robust technical solutions, ensuring alignment across teams.
- Promoting strong data governance, documentation, and observability across systems.
- Staying ahead of industry trends and introducing new technologies and methods into the team.
What We’re Looking For
- Proven experience managing and mentoring data science teams.
- Strong track record delivering impact in a senior data science role.
- Deep understanding of machine learning model lifecycles and optimisation.
- Skilled in building, training, and deploying models on large datasets.
- Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks.
- Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure.
- Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders.
- A collaborative, curious, and pragmatic mindset, with a passion for solving complex problems.
Data Science Manager
Posted today
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Job Description
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.,
Summary
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.
All the details
What's In It For You
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
- After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
Who You Are
- A collaborative and supportive leader who inspires and develops Data Scientists, creating a culture of openness, learning and excellence in delivery.
- Technically skilled in a wide range of ML/AI methods, with experience turning advanced models into real-world solutions that customers feel and business teams value.
- You have a pragmatic and commercial attitude, ready and willing to consider the full range of technical options available from simple to complex, depending on what's most appropriate and what will deliver value most effectively
- Curious and innovative, keeping pace with new ML/AI advancements and applying them to unlock new ways of serving customers.
- An excellent communicator and business partner who can make complex concepts simple, building trust and influence with both technical and commercial partners.
What You Will Do
- Lead, manage and grow a high-performing Data Science team shaping the future of our customer Loyalty programme through seamless personalisation and optimisation
- Deliver scalable ML/AI solutions end-to-end that step-change how we understand, reward and engage with customers through our Loyalty programme.
- Partner with product, engineering and commercial teams to embed solutions seamlessly into the customer experience and business processes.
- Set the standard for agile Data Science delivery, testing and model monitoring, ensuring solutions are robust, reliable and impactful.
- Drive innovation and act as a trusted advisor, helping transform how Data Science develops value for our customers and our business.
Everyone's welcome
We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
hybridroleManager Data Science

Posted 6 days ago
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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 7 days ago
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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
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Data Science Apprentice
Posted 2 days ago
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What You'll Do:
- Assist senior data scientists in collecting, cleaning, and pre-processing large datasets from various sources.
- Learn and apply statistical techniques and machine learning algorithms to analyse data and identify patterns.
- Contribute to the development of data models and predictive analytics solutions.
- Help in visualising data and presenting findings through reports and dashboards.
- Support the team in troubleshooting data-related issues and implementing data quality checks.
- Gain exposure to various data science tools and programming languages, such as Python, R, and SQL.
- Participate in team meetings and collaborate with other departments to understand business needs and data requirements.
- Undertake formal training and study towards a recognised Data Science qualification.
- Develop a strong understanding of data ethics, privacy, and security principles.
- Contribute to a culture of continuous learning and innovation within the data science team.
What You'll Need:
- A strong interest in data, mathematics, and technology.
- Good problem-solving skills and an analytical mindset.
- A proactive attitude and a willingness to learn new skills.
- Good communication and teamwork abilities.
- Ideally, you will have achieved or be on track to achieve at least 4 GCSEs at grades 9-4 (or equivalent), including English and Maths, or equivalent level qualifications in IT or a related subject.
- No prior professional experience in data science is required; we are looking for potential and passion.
This is a fully remote apprenticeship, allowing you to learn and grow from the comfort of your own home in or around **Belfast**, Northern Ireland. Our client is committed to providing exceptional training, mentorship, and support throughout your apprenticeship journey, setting you up for a successful career in data science. This role offers a structured learning environment, professional development opportunities, and the chance to work with exciting data-driven projects.
Data Science Graduate
Posted 20 days ago
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Job Description
As a Data Science Graduate Intern, you will work closely with our experienced data science team on real-world projects. Your responsibilities will include data collection, cleaning, and preprocessing; exploratory data analysis to identify trends and patterns; building and testing predictive models; and assisting in the visualization and interpretation of data insights. You will gain hands-on experience with various data science tools and programming languages, such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R, as well as SQL for database management. Opportunities to learn about machine learning algorithms, statistical modeling techniques, and data storytelling will be provided.
We require strong analytical and problem-solving skills, a keen eye for detail, and a genuine passion for data. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. This internship is designed to provide comprehensive training and exposure to the entire data science workflow. It is an ideal stepping stone for graduates seeking to build a successful career in data science, offering the chance to contribute meaningfully to projects and develop a robust professional portfolio. We value curiosity, eagerness to learn, and a collaborative spirit.
Data Science Apprentice
Posted 20 days ago
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Job Description
The apprenticeship will provide a structured learning path, combining on-the-job training with formal study towards a recognised qualification. You will be involved in developing predictive models, building dashboards, and extracting actionable insights that drive business decisions. This position requires excellent problem-solving skills, a strong attention to detail, and the ability to work independently and collaboratively in a virtual team environment. You will be expected to contribute ideas, ask questions, and actively participate in team discussions and project meetings. A foundational understanding of mathematics and statistics would be advantageous, as would basic programming knowledge (e.g., Python, R), though comprehensive training will be provided. This is a fantastic stepping stone for anyone aspiring to a career in data analytics or data science, offering practical experience and professional development in a supportive, remote-first setting.
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support data analysis and interpretation to identify trends and patterns.
- Learn and apply machine learning algorithms and statistical models under guidance.
- Contribute to the development of data visualizations and reports.
- Participate in team meetings and project discussions.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Undertake formal study as part of the apprenticeship program.
- Assist in evaluating the performance of data models and algorithms.
- Maintain accurate documentation of data processes and findings.
- Develop a strong understanding of data ethics and governance.
- Minimum of 5 GCSEs at grade C/4 or above, including Maths and English, or equivalent qualifications.
- Strong analytical and problem-solving abilities.
- Interest in data, technology, and mathematics.
- Basic understanding of programming concepts (e.g., Python) is beneficial but not essential.
- Excellent communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Team player with a positive attitude.