147 Data Interpretation jobs in the United Kingdom

About WillHire

WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .

Role Overview

As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.

Key Responsibilities

• Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
• Build predictive models for talent forecasting, attrition risk, and candidate success scores
• Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
• Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
• Work with time-series & cohort data for trend analysis and performance metrics
• Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
• Communicate findings & recommendations with clear visual and written formats to stakeholders

Requirements

• Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
• Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
• Familiarity with SQL for querying relational datasets
• Sound understanding of ML fundamentals – supervised/unsupervised learning methods
• Strong statistics foundation – distributions, hypothesis testing, probability
• Ability to interpret data, derive insights, and present conclusions clearly
• Strong communication skills, ownership mindset & enthusiasm to learn

Nice to Have (Bonus)

• Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
• Basics of cloud platforms (AWS/GCP/Azure) or Docker
• Prior exposure to HR analytics or recruitment datasets

What You’ll Get

• Practical exposure to solving real-world data problems in HR Tech
• Experience working on high-impact product features used by recruiters and hiring managers
• 1:1 mentorship by experienced data scientists and access to premium resources
• Internship Certificate & Letter of Recommendation upon successful completion
• Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies

Hiring Process

Online Application

• Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience

Technical Assessment

• Assignment to test Python, SQL, EDA, or modeling approach

Technical Interview

• In-depth discussion (45 mins) on your ML/stats understanding & problem-solving

Managerial Interview

• Evaluate communication skills, culture fit & motivation

Offer

• Selected applicants receive the internship offer with stipend details & project allocation

Onboarding

• Orientation, project assignment & setup with tools and mentors

Stipend

Minimum stipend starts at £17/hour , with the possibility of a higher rate based on performance in the interviews.

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.

Data Science Manager

Up to £85,000

Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation.

Responsibilities:

• Stay hands-on while advising business leaders on data-driven decisions.
• Drive improvements in client and customer outcomes through active data analysis and modeling.
• Develop and refine predictive and machine learning models.
• Build and optimize customer lifetime value and key metric models.
• Continuously improve analytics and model accuracy.
• Lead and contribute to scalable model deployment in production.

Requirements:

• MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Experience in Consumer / Marketing Analytics
• Strong proficiency in Python and experience with relevant ML libraries/frameworks.

Please note:

This role requires 1 day onsite per week onsite in Central London.

This role cannot provide visa sponsorship.

Data Science Manager

Up to £85,000

Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation.

Responsibilities:

• Stay hands-on while advising business leaders on data-driven decisions.
• Drive improvements in client and customer outcomes through active data analysis and modeling.
• Develop and refine predictive and machine learning models.
• Build and optimize customer lifetime value and key metric models.
• Continuously improve analytics and model accuracy.
• Lead and contribute to scalable model deployment in production.

Requirements:

• MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Experience in Consumer / Marketing Analytics
• Strong proficiency in Python and experience with relevant ML libraries/frameworks.

Please note:

This role requires 1 day onsite per week onsite in Central London.

This role cannot provide visa sponsorship.

Software Engineering Manager – Data & Analytics

Location: Oxfordshire, UK (Hybrid)

A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on.

The Role:

• Lead and mentor a small team of software engineers and data specialists.
• Oversee the design, development, and delivery of high-quality data software.
• Manage project timelines, priorities, and software quality processes.
• Collaborate with research and engineering teams to deliver integrated solutions.
• Drive best practices in coding, testing, and continuous improvement.
• Contribute technically in Python or similar languages when needed.

Requirements:

• 5+ years in software engineering, including leadership or management experience.
• Strong programming skills (Python preferred).
• Proven record of delivering robust, production-grade software systems.
• Familiarity with scientific or analytical data processing is beneficial.
• Excellent communication, organisation, and problem-solving skills.

Education:

• Degree in Computer Science, Engineering, or a related technical field.

Package:

£62,000–£75,000 depending on experience, plus bonus, benefits, and hybrid working flexibility.