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Ekimetrics

2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London

Ekimetrics is hiring a 2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London (United Kingdom). Level rates it ; you can apply on Ekimetrics.

Level's read on this job

  • Little AI ●○○○ is how Level rates this marketing role: aI is not part of the work.
  • Tools and skills the posting cites include Databricks.
  • Level classifies it as an internship.
  • Level lists 30 other open roles at Ekimetrics.

AI in this role

Databricks
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? · £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 recruitment.uk@ekimetrics.com At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values, which serve as pillars in our work and attitude. Our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure. Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law., Closing on 30th October or sooner. We may close the posting earlier.

How we rate this

2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London at Ekimetrics rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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