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internship2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London
Ekimetrics · London
London – Data Science, Marketing Effectiveness 6 Month Internship Job Description Role : Data Science & Marketing Effectiveness Start date: Jan - June 2027 Location : London, UK (Hybrid – Minimum 2 days in office per week) About Ekimetrics Ekimetrics is a leader in data science and AI, specialising in marketing effectiveness and business optimisation since 2006. We help companies across various industries, including retail, automotive, banking, luxury fashion, and more, unlock the value of their data to drive sustainable business performance. Our goal is to combine high-impact AI and data science solutions for sustainable business performance. We’re proud to be: DataIQ Best Company to Work For & Solution Provider 2025 · UK Data Company of the Year 2023 · Great Place to Work Certified 2023 · Microsoft’s Sustainability Partner · Named a Leader in the Forrester Wave for Marketing Measurement 2023 With offices in Paris, London, New York, Hong Kong and Shanghai, our 50+ data science consultants deliver over 1,000 high-impact projects each year for global clients. About the Role As a Data Science & Marketing Effectiveness Intern, you’ll spend 6 months in the Ekimetrics London team. You’ll work on global client projects to measure and optimise marketing performance through advanced analytics and statistical modelling. You’ll gain first-hand experience as both a data scientist and strategic consultant, using tools like Python and econometric modelling to guide real-world business decisions. You’ll collaborate on client projects and internal R&D from day one. Over the 6-month internship, you’ll also have the opportunity to complete a research project that aligns with your interests and contributes to our broader business goals. Job Responsibilities 1. Data Analytics & Modelling · Analyse large data sets using statistical techniques to uncover key insights · Support the team in building marketing mix models (MMM), testing frameworks, forecasting tools, and customer segmentation · Use Python to process and clean data, write scripts and build ML or econometric models · Opportunity to work with tools like Power BI, Databricks, Git, Jira, Pandas, PySpark, VS Code 2. Consulting & Strategy · Gain experience translating complex data outputs into recommendations for clients · Attend internal and client meetings to understand real business challenges · Collaborate across teams to build deliverables, present findings and influence decisions 3. Eki Life & Learning · Undertake an individual R&D project based on your interests and present your findings to the Eki leadership team · Attend team events, internal training, knowledge sharing and social activities · Contribute to a fun, curious, and collaborative team culture About You Must Have · Studying a quantitative degree (e.g. Economics, Maths, Engineering, Computer/Data Science, Statistics, etc.) · Strong interest in analytics, modelling, marketing strategy and customer analytics · Proficient in Excel functions (e.g., VLOOKUP, INDEX-MATCH, TEXT, IF, SUMIFS, pivot tables) for data cleaning, validation, and structuring (this will be needed for the interview process) · Some experience in Python, R or similar (academic, project or self-taught) · Solid foundation in statistics, econometrics and data manipulation Consulting & Soft Skills: · Curious, detail-oriented and comfortable working with ambiguity · Excellent communication – both written and verbal · Highly collaborative, self-motivated and organised · A strong interest in working at the intersection of data and business Must-Haves: · Available to work 5 days a week full-time · Full right to work in the UK for the duration of the placement. We cannot sponsor this role. · Enthusiastic about gaining experience in a hybrid data science/consulting role Why Join Eki? ·
| Role | 2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London |
|---|---|
| Company | Ekimetrics |
| Location | London |
| Type | internship |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationApply with your resume and, where asked, a short cover note.
- 2ScreeningRecruiter or hiring manager reviews fit against the role.
- 3InterviewUsually one round — a mix of technical and fit questions.
- 4OfferOffer letter with stipend, duration, and start date.
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