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 Data Science, 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.