Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize 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 an intern at Ekimetrics, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science- Actively participate in office meetings, training sessions, and team initiatives- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment
Your ProfileExperience & Technical Skills- 0-2 years of professional experience, including internships or graduate placements- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical fieldBasic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics- Ability to work with and clean large datasets while maintaining attention to quality- Nice-to-have experience with Databricks, Azure, or MMM exposure- Proficient in Microsoft Office (Excel, PowerPoint, Word)Soft Skills- Analytical mindset, curiosity, and problem solving skills- Ability to work autonomously while being a collaborative team member- Strong communication skills to engage with clients and internal teams- Interest in business challenges, marketing strategy, and results-oriented thinking- Positive attitude, resilience, and sense of humor What We Offer:At Ekimetrics, interns receive a monthly stipend of $2,800/mo.
Career development and growth opportunities An emphasis on work-life balanceAnnual seminars and retreatsClose knit team with friendly environment, bi-monthly team events and moreWork closely with senior analysts and managers to develop technical, analytical, and client-facing skills. The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses. Gain exposure to international clients, multiple industries, and projects with real business impact. Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.  Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.