Senior Data Scientist & Marketing Effectiveness

Ekimetrics; Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

A global leader in Marketing Effectiveness seeks a Senior Data Scientist to manage high-impact marketing effectiveness programs for international clients. The role involves applying econometric and machine learning methods, leading teams, and translating data insights into actionable business strategies. Ideal candidates will have 3-5 years of experience in data science, strong skills in Python, R, and SQL, and the ability to engage with senior stakeholders. The position offers a competitive salary and flexible working options in a dynamic environment.

Benefits

Salary £60,000‑£75,000

Bonus 10%

Private healthcare

25 days annual leave

Flexible hybrid working policy

Opportunities for international mobility

Qualifications

• 3-5 years of experience in marketing effectiveness/MMM and analytics/data science.
• Strong proficiency in Python, R, SQL, or similar tools.
• Comfortable handling large datasets and delivering high-quality outputs.

Responsibilities

• Lead end-to-end MMM and marketing effectiveness programs for international clients.
• Apply econometrics, regression, Bayesian statistics, and machine learning methods.
• Translate complex analytics into clear, business-oriented recommendations.

Skills

Python

R

SQL

Econometrics

Regression analysis

Machine learning

Education

Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, or Marketing Analytics

Tools

Databricks

Azure

Job description

London – Senior Data Scientist & Marketing Effectiveness

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.

Responsibilities

As a Senior 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 3‑5 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.
• Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.
• Experience translating data and model outputs into actionable business recommendations.
• Comfortable handling large datasets, optimising data pipelines, and delivering high‑quality outputs.

Leadership & Client‑Facing Skills

• Excellent communication and storytelling skills for senior stakeholders.
• Demonstrated ability to lead multiple project teams and manage priorities with autonomy.
• Strong strategic thinking, problem‑solving mindset, and drive for continuous improvement.
• Supportive team player with a passion for talent development, coaching, and enabling team growth.
• Ability to contribute to impactful thought leadership and forward‑thinking perspectives on measurement and marketing effectiveness.

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 £60,000‑£75,000 + 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.