ekimetrics - 2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London
Requirements
• · 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 • · 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 • · Available to work 5 days a week from June/July 2026 to Dec 2026 • · 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
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
Benefits
• · £Competitve Salary Prorated + 20 days holiday + Bank holidays • · Hybrid working (2 days a week in the office minimum) • · Opportunity for full-time return offer (Junior Data Science Consultant starting salary of 40k!) • · Training & mentorship from experienced consultants • · Vibrant, international office culture (75+ employees in London office) • · Regular socials, global knowledge sharing & learning sessions • · A chance to work on real projects and make an impact from day one • Our recruitment process • 1. Online Technical Test (HackerRank) – 45 mins • 2. Introductory Interview with a member of the talent acquisition team - 15-30 mins • 3. Case Study Interview 45mins – 1 hour • 4. Final Interview – 45 minutes • __________________________________________________________________________________________________________ • Any questions, please contact [email protected]
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