Data scientists & statisticians Work, Jobs in Saffron Walden, Ess (with Salaries)

Data Scientist
Tesco UK —Welwyn Garden City
- Full-time
- Machine learning
- AI
- Python
- Employee assistance programme
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
AI Engineer (Advisory)
WSP —Cambridge
- Part-time
- Hybrid work
- Azure
- Machine learning
- AI
- Flexitime
- Work from home
7d
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
AI Geometry Development Engineer
Dassault Systèmes —Cambridge
- Doctoral degree
- Computer Science
- Master's degree
7d
Performance Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Computer Science
- Bachelor's degree
- Python
Quick apply
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Machine learning
- In-person
- Life insurance
Quick apply
7d
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
12d
Senior Data Scientist (Tesco Mobile)
Tesco UK —Welwyn Garden City
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Employee assistance programme
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
1d
AI Software Engineer
Neat —Cambridge
- English
- AI
- Leadership
Quick apply
Sr Staff AI Software Development Engineer
Renesas Electronics —Cambridge
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- Annual leave
- Life insurance
Quick apply
Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Maths
- Machine learning
Quick apply

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data scientists & statisticians jobs near saffron walden, ess

Data Scientist

Tesco UK -
Welwyn Garden City

Apply Now

Job details

Full-time

Benefits

Employee assistance programme
Private medical insurance

Qualifications

Machine learning
Distributed systems
Deep learning
AI
Python

Full job description

About the role

At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.

We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge-sharing events and a collaborative, inclusive environment that values work-life balance and professional growth.

You will be responsible for

As a Data Scientist at Tesco, you will develop and deploy machine learning and generative AI solutions that directly impact how we serve our customers and run our business. You will be responsible for designing and implementing robust models, experimenting with new approaches, and translating business problems into data science solutions. This includes building prototypes, evaluating model performance both statistically and in terms of business impact, and scaling models into production. You will collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable, and aligned with Tesco’s technology standards.

You will also play a key role in communicating complex ideas clearly to non-technical stakeholders, contributing to internal knowledge sharing and representing Tesco in the external data science community. Staying current with developments in GenAI and LLMs will be essential, as you will help to evaluate and integrate emerging techniques into our data products.

You will need

We are looking for a curious and driven individual with a strong foundation in machine learning, statistics, and programming. You will be comfortable designing and implementing models using Python and working with large-scale data in distributed computing environments. Hands-on experience with generative AI, LLMs, and deep learning frameworks is valued.

You will translate business problems into data science solutions and communicate your findings clearly to both technical and non-technical audiences. A scientific mindset, critical thinking, and the ability to ask the right questions are essential. You will be proactive in learning new methods, staying up to date with the latest developments, and contributing to a culture of knowledge sharing and collaboration.

A higher degree in a quantitative discipline—such as Mathematics, Computer Science, Engineering, or Physics—is preferred, though equivalent experience in a commercial setting is also valued. Strong coding practices, including version control and testing are expected.

Whats in it for you?

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!

Annual bonus scheme of up to 20% of base salary
Holiday starting at 25 days plus a personal day (plus Bank holidays)
Private medical insurance
26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

The above information is a shortened summary, refer to our policies for full details

About Us

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Apply Now

Refine Your Search

data scientists & statisticians jobs in saffron walden, ess

Data Scientist

Software Engineer (Machine Learning)

AI Engineer (Advisory)

Agentic AI Engineer (life sciences)

Applied Scientist - LLM, Alexa

AI Geometry Development Engineer

Performance Engineer

C++ AI/ML Software Engineer

AI/ML Research Consultant

Senior AI Engineer (Full Stack)

Senior Data Scientist (Tesco Mobile)

Machine Learning & AI Materials Scientist

AI Software Engineer

Sr Staff AI Software Development Engineer

Foundation Model Engineer

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