Interns will work on data analysis and modeling projects, collaborating with consultants to provide strategic recommendations to clients, leveraging data science and AI.
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 Profile
Experience & 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 field
Basic 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
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.
Top Skills
Python
R
Statistical Software
Ekimetrics New York, New York, USA Office
66 Hope St, New York, NY, United States, 11211
Similar Jobs
Cloud • Information Technology • Machine Learning
The Senior Threat Intelligence Engineer will lead the collection and analysis of threat intelligence related to security and geopolitical risks, delivering impactful insights to stakeholders and automating systems for operational security improvements.
Top Skills:
APIsData EngineeringGeospatial SystemsPower BIPythonSQLTableauThreat Intelligence Platforms
eCommerce • Food • Sales • Software
The Staff Product Manager will lead the development and strategy for Grubhub's Customer Data Platform and CRM systems, focusing on personalization and data-driven experiences for diners while collaborating with various teams.
Top Skills:
A/B Testing FrameworksAnalyticsCdpCRMMartechSQL
Artificial Intelligence • Information Technology • Software
Lead the design of AI-native enterprise software, create intuitive workflows, and collaborate closely with founders and engineering teams.
Top Skills:
FigmaFramerPrincipleProtopie
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


.png)
.png)