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

Role: Data Science & Marketing Effectiveness

Start date: Jan - June 2027

Location: London, UK (Hybrid – Minimum 2 days in office per week)

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.

·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.

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.

·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

·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

·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

·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

·£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

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

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