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2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Start date: Jan - June 2027 Location: London, UK (Hybrid – Minimum 2 days in office per week) About Ekimetrics
Read the full posting- Employment
Contract — employment source
Employment type Contract 6-12 months
Employment type in the employer’s posting: Contract 6-12 months
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: 2027 Internship (6 Months) - Data Science & Marketing Effectiveness, London
- Work authorization
- Must already have the right to work in the UK
Full right to work in the UK for the duration of the placement
What you’ll work on
Full postingAs a Data Science & Marketing Effectiveness Intern, you’ll spend 6 months in the Ekimetrics London team.
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.
Analyse large data sets with statistical techniques to find insights
Support building marketing mix models, testing frameworks and forecasting tools
Use Python to clean data, write scripts and build ML or econometric models
Turn complex data outputs into recommendations for clients
Carry out an individual R&D project and present findings to leadership
From the employer’s posting
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.
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
Gain experience translating complex data outputs into recommendations for clients
Undertake an individual R&D project based on your interests and present your findings to the Eki leadership team
About Ekimetrics
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 18, 202646 days ago
- Recorded sightings
- 30
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ekimetrics is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Its jobs tend to stay up a long time
- 8% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- Databricks
- Excel
- Power BI
- pandas
- PySpark
Where the posting names them
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.
· 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
· 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
· 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
· 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)
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
Employment type
Contract 6-12 months
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
Start date: Jan - June 2027 Location: London, UK (Hybrid – Minimum 2 days in office per week) About Ekimetrics
More source context
· 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?
More relevant text appears in the full description.
- Work authorization
· 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