At a Glance
- Tasks: Dive into data science and marketing effectiveness, shaping impactful strategies for global clients.
- Company: Join Ekimetrics, a leader in AI-powered marketing solutions with a vibrant, inclusive culture.
- Benefits: Enjoy a competitive salary, flexible working, and comprehensive health benefits.
- Other info: Embrace growth opportunities with structured career paths and international exposure.
- Why this job: Make a real difference using data to drive sustainability and business success.
- Qualifications: 1-3 years in analytics or data science; strong skills in Python, R, or SQL.
The predicted salary is between 40000 - 55000 ÂŁ per year.
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
- Contribute to one major or multiple client projects across our suite of MMM/Data science offerings.
- Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools.
- Conduct analyses related to consumer behaviour, market trends, and campaign performance.
- Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM).
- Develop dashboards, charts, and visualisations to communicate insights effectively to clients and internal teams.
- Assist in developing marketing strategies and media optimization plans based on model insights.
- Collaborate with teams to produce client deliverables, ensuring accuracy, quality, and timely delivery.
- Participate in client meetings and calls under supervision, helping translate analytical outputs into actionable business recommendations and narratives.
- Collaborate with seniors and managers to define analytical approaches and methodologies.
- Support informed decision making by presenting and explaining findings in client delivery meetings and internal workshops.
- Share best practices within the team and contribute to knowledge‑sharing initiatives.
- Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming.
- Actively participate in office meetings, training sessions, and team initiatives.
- Champion and role‑model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure.
Your profile – Experience & Technical Skills
- 1–3 years of professional experience in analytics, data science, or marketing effectiveness, including internships or graduate placements.
- Proven hands‑on experience with Marketing Mix Modelling (MMM) and related marketing effectiveness methodologies.
- Bachelor’s or Master’s degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field.
- Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus.
- Experience or willingness to learn visualisation tools such as PowerBi and Tableau.
- Experience building and maintaining statistical or predictive models to forecast consumer behaviour, campaign performance, and key business metrics.
- Ability to handle and optimize large datasets, ensuring high-quality analyses and actionable insights.
- Strong working knowledge of Microsoft Excel and PowerPoint.
Soft Skills
- Ability to manage client interactions and support project delivery as an operational‑level contact.
- Strong communication, storytelling, and presentation skills to convey analytical insights clearly.
- Collaborative, proactive, and capable of mentoring junior team members.
- Positive, resilient, and results‑oriented mindset with attention to detail.
- Curiosity and enthusiasm for learning in a fast‑paced consultancy environment.
- Positive, resilient attitude with a solution‑oriented, results‑driven mindset and a sense of humour.
Why join us?
At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self. In 2023, Ekimetrics obtained “mission‑driven company” status, reflecting our commitment to CSR. Our purpose: Accelerate organisations’ transformation towards sustainability through data science and AI. We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale‑ups with potential for international leadership.
Career development and growth opportunities
- Lead projects and develop advanced analytical and client‑facing skills.
- Structured career progression from Senior Analyst, Manager, Senior Manager and beyond.
- Access to Eki.Academy, including solution‑specific training, Climate School courses, and career development programs.
- Exposure to international clients, multiple industries, and high‑impact projects.
You will have access to:
- Salary ÂŁ40,000-ÂŁ55,000 + Bonus 10% + Corporate bonus.
- Enter into our generous Bonus scheme, reflecting individual performance and corporate, reducing CO2.
- Regular events and seminars to connect with colleagues.
- Modern office space in a central London location.
- Flexible hybrid working policy (2 days a week in office + 20 days’ work from anywhere, remotely).
- 25 days annual leave + bank holidays, plus an additional 3 days for tenure.
- Private healthcare, life insurance, and wellbeing support.
- Group pension scheme.
- Opportunities for international mobility and career development.
As an employer, Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ekimetrics strives to develop an inclusive work environment that reflects diversity within its teams.
Data Scientist & Marketing Effectiveness (MMM) employer: Ekimetrics
Contact Detail:
Ekimetrics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Marketing Effectiveness (MMM)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Ekimetrics employees on LinkedIn. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Marketing Mix Modelling. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for the interview by understanding Ekimetrics' mission and values. Be ready to discuss how your skills align with their focus on AI impact and sustainability. It shows you're genuinely interested in the company!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re keen on joining the Ekimetrics team directly.
We think you need these skills to ace Data Scientist & Marketing Effectiveness (MMM)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist & Marketing Effectiveness role. Highlight relevant experience, especially in analytics and marketing effectiveness methodologies. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and marketing effectiveness. Share specific examples of your work that demonstrate your skills and enthusiasm for the role.
Showcase Your Technical Skills: We love seeing technical proficiency! Make sure to mention your experience with Python, R, SQL, or any other tools you've used. If you've worked on Marketing Mix Modelling, don't forget to highlight that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Ekimetrics
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, SQL, and any other analytics tools mentioned in the job description. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Mindset
Prepare to talk about your experience with Marketing Mix Modelling (MMM) and how you've applied statistical models to real-world problems. Think of examples where your insights led to actionable business recommendations, and be ready to explain your thought process.
✨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex data insights in simple terms. You might even want to prepare a mini-presentation or visualisation to demonstrate how you would convey findings to clients or team members.
✨Embrace Curiosity and Collaboration
Ekimetrics values curiosity and teamwork, so come prepared to discuss how you've worked collaboratively in past roles. Share examples of how you've mentored others or contributed to team knowledge-sharing initiatives, and express your enthusiasm for learning and growing within the company.