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Data Scientist – Graduate
The Tecsa Group. Develop new analytical methodologies to derive insight from large and complex retail datasets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing analytical methodologies and applying statistics and machine learning to derive insights from complex retail datasets. Proficient in Python and SQL, with a strong foundation in data science and the ability to communicate findings effectively to diverse audiences.
Highest-signal resume keywords
Data ScienceMachine LearningPythonSQLAnalytical Problem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisMachine LearningData AnalysisSoftware Engineering PrinciplesAI Agent DevelopmentCloud Data PlatformsDatabase ManagementVersion ControlTesting PracticesAnalytical Methodologies
Soft Skills
Clear CommunicationTeam CollaborationCuriosityInitiativeSelf-Motivation
Tools & Technologies
AudienceViuOneViuMicrosoft FabricAzureAWSGCPSnowflake
Certifications & Qualifications
Degree in Data ScienceMSc in Quantitative Field
Industry Keywords
Retail OperationsConsumer BehaviourDigital MarketingBusiness FinanceUX Design
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Develop new analytical methodologies to derive insight from large and complex retail datasets
- Apply statistics and machine learning to understand consumer behaviour and business performance
- Design, code and test new features within Tecsa's AudienceViu retail media targeting platform
- Create and optimise AI agents within AudienceViu and OneViu
- Use Python, SQL and modern data platforms to build robust analytical solutions
- Undertake ad-hoc analytical consulting to answer client questions and support decision-making
- Communicate analytical findings clearly to technical and non-technical audiences
- Work alongside experienced data scientists and consultants on client projects and Tecsa's technology products
Requirements
What you’ll need- 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
- Sponsorship is not available; candidates need the right to work in the UK
- Desirable: MSc or other postgraduate qualification in a relevant quantitative field
- Desirable: Experience applying data science through an internship, placement, university project, research project or other practical work
- Desirable: Familiarity with cloud data platforms and technologies such as Microsoft Fabric, Azure, AWS, GCP or Snowflake
- Desirable: Some understanding of software development practices such as version control, testing and collaborative development
- Desirable: Commercial awareness relating to retail operations, business finance, digital marketing, loyalty or consumer behaviour
- Desirable: Basic understanding of UX and user interaction with analytical or software products
- Desirable: Experience using generative AI, coding assistants or developing AI agents
- Desirable: Strong written and verbal communication skills
- Desirable: Self-motivated, organised and comfortable working in a dynamic environment
Benefits
Comp & perks- 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