Junior Data Scientist & Marketing Effectiveness - Aug/September 2026 Start Date

London, UK (Hybrid)

Salary Not AvailableIntern/New GradFull time

Posted 9 days ago

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Job Summary

Own end-to-end Marketing Mix Modelling and Customer Analytics projects, collaborating with clients to translate business context into data-driven models, and contribute to R&D and culture initiatives.

  • Lead data analysis and model building across MMM and customer analytics.
  • Collaborate across global markets and industries.
  • Contribute to new methodologies and data engineering capabilities.

Job Description

Responsibilities

  • Apply econometrics using data science and AI for business problems.
  • Understand clients’ business context and collaborate in a fast-paced environment.
  • Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations.
  • Work on 1-3 projects across global markets and industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity, tech partners and many more.
  • Contribute to Ekimetrics R&D to support the development of new methodologies and build data Engineering/Architecture capabilities in the office.
  • Contribute to Eki.Life culture initiatives, well-being and help drive our CSR commitments

Requirements

  • A degree in economics or a similar analytical field (e.g. econometrics, statistics, mathematics, or other quantitative degrees like Engineering, Data Science, etc.)
  • Prior experience (academic or professional) in data analysis/ modelling / advanced analytics or ML.
  • Experience with programming languages such as Python or R - we use Python at Eki.
  • Capacity to work and learn quickly in a fast-paced environment.
  • Exceptional written and oral communication skills.
  • Interest in Data and Marketing to make an impact for businesses
  • Ability to work within an inclusive and diverse team to deliver innovative solutions.
  • A passion for joining a small team and a keen interest in personal learning and development.
  • Demonstration of behaviours that support our values: Curiosity, Creativity, Excellence, Transmission, and Pleasure.
  • Must be able to work on-site a minimum of 2 days a week in London, UK (Hybrid)

Benefits

  • Competitive Compensation + individual & company y bonuses
  • Continuous Learning and development opportunities with Eki.Academy , training programs and certifications
  • Hybrid working (Minimum 2 days a week in the office)
  • 20 days a year Work from Anywhere
  • 25 days annual leave (+ Bank Holidays + additional days for tenure)
  • Private healthcare, life insurance, critical illness cover, and professional wellbeing support services
  • Group pension scheme
  • An emphasis on work-life balance and a strong company culture
  • Eki. Anniversary gifts for every year of service
  • Opportunities to develop a dual profile in data science and strategic consulting.
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Ekimetrics

4.0 Glassdoor

Ekimetrics transforms how organizations make critical business decisions. Through AI-powered Managed Solutions, we help companies build sustained competitive advantage. Our solutions combine the Eki.Decisions platform with embedded experts who bring 20 years of experience in marketing, commercial effectiveness, and data science, connecting decisions across business domains to drive scalable, lasting impact. With 500+ experts across three continents, Ekimetrics delivers measurable results through responsible and sustainable AI. Visit us at ekimetrics.com.

Founded in 2006
Paris, Île-de-France, FRA
523 employees (15 in marketing)
87% recommend to a friend
95% CEO approval

Traffic Signals

Monthly Visitors
18.3K
Traffic Source Mix
Search
71.8%
Direct
17%
Referral
4.6%
Social
1.3%
Paid
3.7%

Headcount Trend

Current headcount: ~523

Marketing Team

Marketing Team Size
15 (3% of company)
Marketing Roles Posted (Last 30 Days)
10

Funding

Total Funding
$28.6M
Last Raise
$28.6M
Series Unknown, 6 years ago

Funding History

  • Nov 2020
    Series Unknown • $28.6M
  • Nov 2016
    Seed

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