2,942 Junior Data Scientists jobs in the United Kingdom

• 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.

• 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.

• 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.

• 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.

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.

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.

• 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.

• 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.

• 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.