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Ekimetrics

2026 Summer Internship (6 Months) - Data Science & Marketing Effectiveness, London

Reposted 15 Days Ago
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Hybrid
London, Greater London, England
Internship
Hybrid
London, Greater London, England
Internship
As a Data Science & Marketing Effectiveness Intern, you will analyze data, build marketing models, and gain consulting experience over a 6-month period.
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London – Data Science, Marketing Effectiveness 6 Month Internship
Job Description
Role: Data Science & Marketing Effectiveness
Start date: June/July 2026 - December 2026
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 12-month placement, 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 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
 
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 [email protected]

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 31st Jan 2026. We may close the positing earlier.

Top Skills

Databricks
Excel
Git
JIRA
Pandas
Power BI
Pyspark
Python
R
Vs Code

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