Manager, Data science & Marketing Effectiveness (MMM) in London

Manager, Data science & Marketing Effectiveness (MMM) in London

London Full-Time 75000 - 90000 £ / year (est.) Home office (partial)
Ekimetrics

At a Glance

  • Tasks: Lead impactful data science projects and drive marketing effectiveness for global clients.
  • Company: Join Ekimetrics, a leader in AI-powered marketing solutions with a vibrant culture.
  • Benefits: Enjoy a competitive salary, bonuses, flexible working, and extensive training opportunities.
  • Other info: Be part of a mission-driven company committed to sustainability and innovation.
  • Why this job: Make a real difference using data to solve pressing business challenges and drive growth.
  • Qualifications: Experience in econometrics or marketing effectiveness; strong analytical and leadership skills required.

The predicted salary is between 75000 - 90000 £ 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 four 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.

Your responsibilities include leading high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage multiple teams and accounts, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients while driving business growth and talent development.

  • Oversee end-to-end MMM and marketing effectiveness programmes, from scoping and data strategy through to modelling, insights, and activation.
  • Ensure robust project governance, including data quality, model validity, and actionable recommendations that drive client impact and business growth.
  • Translate complex analytical outputs into strategic narratives and clear actionable recommendations for senior stakeholders and C-suite clients.
  • Define, steer, and monitor project roadmaps using Ekimetrics’ methodologies and standards, ensuring delivery aligns with client objectives, profitability targets, and timelines.
  • Provide strategic oversight to clients, helping optimise marketing spend, enhance campaign performance, and improve customer segmentation and ROI.
  • Support partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs/pitches.
  • Continuously identify and implement innovative approaches to solve client business challenges.

People & Project Leadership involves line managing multiple team members, overseeing performance, conducting regular 1:1s, performance reviews, and talent assessments, while ensuring high-quality delivery, profitability, and client satisfaction. You will lead talent development initiatives, mentor project teams, contribute to project staffing strategy, recruit and develop resources, and encourage collaboration within squads.

Account & Business Growth requires serving as the operational and strategic point of contact for key accounts, identifying cross-sell and upsell opportunities, contributing to the scoping and design of new projects, and providing strategic guidance to clients using data-driven insights.

Practice & Thought Leadership includes enhancing MMM methodologies, contributing to thought leadership, knowledge management, and acting as an ambassador of Eki culture, role-modelling Ekimetrics’ core values: Curiosity, Creativity, Excellence, Transmission, Pleasure.

Your profile should include experience in econometrics, MMM, or marketing effectiveness, a Bachelor’s or master’s degree in relevant fields, proficiency in Python, R, SQL, Excel, and visualisation tools, and a strong understanding of econometrics and advanced modelling techniques.

Soft skills required are collaborative, proactive, results-driven, positive, resilient, adaptable, curious, creative, and committed to delivering high-quality work.

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.

You will have access to a salary from £80,000 + Bonus 20% + Corporate bonus, training catalogues, regular events, modern office space, flexible hybrid working policy, annual leave, private healthcare, life insurance, group pension scheme, and opportunities for international mobility and career development.

Ekimetrics offers equal employment opportunities to all, striving to develop an inclusive work environment that reflects diversity within its teams.

Manager, Data science & Marketing Effectiveness (MMM) in London employer: Ekimetrics

Ekimetrics is an excellent employer for aspiring marketers, offering a vibrant work culture in the heart of London. Interns benefit from hands-on experience in B2B marketing, with opportunities for mentorship and professional growth, all while being part of a collaborative team that values innovation and creativity. This internship not only equips you with essential skills but also opens doors for potential permanent positions based on your contributions.

Ekimetrics

Contact Details:

Ekimetrics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Manager, Data science & Marketing Effectiveness (MMM) in London

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We think you need these skills to ace Manager, Data science & Marketing Effectiveness (MMM) in London

Econometrics
Marketing Mix Modelling (MMM)
Data Strategy
Project Governance
Data Quality Management
Statistical Modelling
Python

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Ekimetrics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ekimetrics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Ekimetrics

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ekimetrics!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.