Ekimetrics

Data Science Intern – Marketing Effectiveness

Ekimetrics

internship

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Entry Level

Tech Stack

PandasPySparkPython

About the role

  • 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

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
  • 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
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisstatistical techniquesmarketing mix modelsforecasting toolscustomer segmentationPythondata cleaningmachine learningeconometricsExcel
Soft skills
curiousdetail-orientedcomfortable with ambiguityexcellent communicationcollaborativeself-motivatedorganised