Graduate Data Scientist at Tecsa in London, England, United Kingdom

Tecsa is a leading specialist consultancy with a dual focus on loyalty programmes and software to support retail insights and retail media. We support major retailers and other consumer-facing businesses around the world, providing applications, analytics and AI agents to improve business performance.

Tecsa is growing its data science consulting team and is seeking a Graduate Data Scientist to join us. This is a hands-on role combining data science, software development and analytical consulting, with the opportunity to work directly on both client projects and Tecsa's own technology products.

You will work alongside experienced data scientists and consultants, developing your technical and commercial skills while contributing to real-world applications of data science and AI. Your responsibilities will include:

• Developing new analytical methodologies to derive insight from large and complex retail datasets
• Applying statistics and machine learning to understand consumer behaviour and business performance
• Designing, coding and testing new features within Tecsa's AudienceViu retail media targeting platform
• Creating and optimising AI agents within AudienceViu and OneViu
• Using Python, SQL and modern data platforms to build robust analytical solutions
• Undertaking ad-hoc analytical consulting to answer client questions and support decision-making
• Communicating analytical findings clearly to both technical and non-technical audiences

This is an opportunity to begin your data science career in a varied environment where you can work across analytics, AI, software and consulting rather than being limited to a single area. You will have the opportunity to take ownership early, learn from experienced colleagues and see your work applied to live client and product challenges.

Sponsorship is not available for this role. Candidates will need to have the right to work in the UK.

Degree in a quantitative discipline such as Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Economics or another relevant STEM subject

Strong foundation in data science, including statistics and machine learning

Good Python and SQL skills

Understanding of core software engineering principles and databases

Familiarity with modern AI tools and agentic coding practices

Strong analytical and creative problem-solving skills

Ability to communicate clearly and work effectively as part of a team

Curiosity, initiative and a willingness to learn new technologies and approaches

Desirable

MSc or other postgraduate qualification in Data Science, Computer Science, Statistics, Mathematics or another relevant quantitative field

Experience applying data science through an internship, placement, university project, research project or other practical work

Familiarity with cloud data platforms and technologies such as Microsoft Fabric, Azure, AWS, GCP or Snowflake

Some understanding of software development practices such as version control, testing and collaborative development

Commercial awareness, particularly relating to retail operations, business finance, digital marketing, loyalty or consumer behaviour

Basic understanding of UX and how users interact with analytical or software products

Experience using generative AI, coding assistants or developing AI agents

Strong written and verbal communication skills

Self-motivated, organised and comfortable working in a dynamic environment

25 days holiday (in addition to 8 bank holidays)

Hybrid working with high flexibility and the opportunity to work remotely up to 90% of the time

Company contributory pension scheme

A supportive, driven culture and a great team with an outstanding mix of talent and experience

A dynamic environment in which you can personally learn, develop and make an impact

Opportunity to work on a wide range of analytics, AI, data science and software projects

Early exposure to real client challenges and production technology used by major consumer-facing businesses