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Senior Data Scientist and Marketing Effectiveness (MMM)

ekimetrics
Companyekimetrics
CategoryData & Analytics
LocationLondon
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted31 Oct 2025
Last verified10 Aug 2026
SourceEmployer ATS (lever)
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Description
Senior Consultant/Analyst Data Science & Marketing Effectiveness - 2026   Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability.   With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.   We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.   Your responsibilities  As a Senior Analyst specialising in Data Science & Marketing Effectiveness, you will lead the delivery of high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage small teams, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients.   Lead Projects ·        Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. ·        Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data ·        Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. ·        Build dashboards and visualisation tools to communicate actionable insights using proprietary Ekimetrics frameworks and best practices. ·        Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients. ·        Support clients in optimising marketing spend, understanding campaign performance, improving customer segmentation, and maximising ROI.   Client & Account Management ·        Serve as the day-to-day operational contact for clients, building trustful relationships and proactively identifying growth opportunities. ·        Present findings, recommendations, and actionable insights in client-facing workshops and executive presentations. ·        Collaborate closely with managers and partners to develop proposals for new or expanded work, aligned with Ekimetrics’ commercial offerings.   People & Project Leadership ·        Lead teams of 3–10 colleagues across multiple projects, ensuring high-quality delivery, client satisfaction, and profitability. ·        Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies. ·        Share best practices and contribute to internal knowledge management initiatives.   Practice & Business Growth ·        Identify opportunities for account growth and contribute to development with existing and prospective clients ·        Act as an ambassador of Eki culture by supporting transversal initiatives (e.g., Thought Leadership, Knowledge Management, Recruitment and Innovation. ·        Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure   Your profile Experience & Technical Skills ·        Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science ·        Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. ·        Strong proficiency in Python, R, SQL, or similar tools. ·        Experience with Databricks, Azure, or other cloud/data platforms is a plus. ·  �