Data Scientist & Marketing Effectiveness Consultant (MMM)

Ekimetrics; Greater London; On-site; GBP 40,000 - 55,000; Full time

Benefits offered by this job

Private healthcare

Life insurance

Pension scheme

Flexible hybrid working

25 days annual leave + bank holidays

Job summary

Ekimetrics in London is seeking a Data Scientist specializing in Marketing Effectiveness (MMM) to work on high-impact analytics for international clients across Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing analytics, collaborating with senior analysts and managers to translate data into actionable recommendations.

The role combines modelling, data wrangling in Python/R/SQL, and dashboarding to communicate insights.

Qualifications

• Experience with Marketing Mix Modelling (MMM) and marketing effectiveness methodologies.
• Proficiency with Python, R, SQL and data wrangling.
• Bachelor’s or Master’s in a quantitative field.
• Experience with visualization tools such as Power BI and Tableau.

Responsibilities

• Contribute to client projects across MMM/data science offerings.
• Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools.
• Conduct analyses on consumer behaviour, market trends, and campaign performance.
• Build, maintain, and apply statistical and predictive models (regression, econometrics, Bayesian methods, MMM).
• Develop dashboards, charts, and visualizations to communicate insights to clients and internal teams.
• Collaborate with teams to produce deliverables with accuracy and timely delivery.
• Present findings in client meetings and translate outputs into actionable recommendations.

Skills

MMM

Python

R

SQL

Databricks

Azure

Power BI

Tableau

Excel

PowerPoint

Education

BSc / MSc in a quantitative field

Job description

London – Data Scientist & Marketing Effectiveness (MMM)

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

AsaConsultant inData Science& Marketing Effectiveness, 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 analysts and managers.

• 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 visualizations to communicate insights effectively to clients and internal teams.
• Assist in developing marketing strategies and media optimisation 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 optimise 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 £40,000-£55,000 + 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

£40,000 - £55,000 a year

Individual performance bonus + company performance bonus

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.