
Junior Data Scientist – Marketing Effectiveness
Ekimetrics
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Salary
💰 £40,500 - £47,000 per year
Job Level
Tech Stack
About the role
- 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 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.
- Opportunities for international mobility
- Cycle to Work Scheme
- Wellbeing support, Gym and retail discounts & 50% off runners need!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
econometricsdata analysisdata modelingadvanced analyticsmachine learningPythonRstatistical modelingdata engineeringdata architecture
Soft Skills
communication skillscollaborationfast-paced learningcuriositycreativityexcellencetransmissionpleasureteamworkpersonal development