Data Scientist & Marketing Effectiveness Consultant (MMM) in London

Data Scientist & Marketing Effectiveness Consultant (MMM) in London

London Full-Time 40000 - 55000 £ / year (est.) Home office (partial)
Ekimetrics

At a Glance

  • Tasks: Dive into data science and marketing effectiveness, working on exciting projects 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 comprehensive health benefits.
  • Other info: Embrace growth opportunities with structured career paths and international exposure.
  • Why this job: Make a real impact using data to drive marketing strategies and sustainability.
  • Qualifications: 1-3 years in analytics or data science; strong skills in Python, R, SQL, and marketing methodologies.

The predicted salary is between 40000 - 55000 £ 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. 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 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.

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 Consultant (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 Data Scientist & Marketing Effectiveness Consultant (MMM) in London

Get Involved in Data Science Meetups

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Show Off Your Projects

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Apply Directly through Our Website

When you find a suitable opening like Data Scientist & Marketing Effectiveness Consultant (MMM) at Ekimetrics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist & Marketing Effectiveness Consultant (MMM) in London

Marketing Mix Modelling (MMM)
Python
R
SQL
Data Visualisation
Statistical Modelling
Predictive Modelling

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

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

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.