Responsibilities

• 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
• 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
• 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

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
• 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

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