Consultant – Data Science & Marketing Effectiveness

KITE are delighted to be recruiting for the following Consultant Data Science & Marketing Effectiveness role, on behalf of our global independent analytics client, based in their London UK office.  Please get in touch for further details…

ABOUT OUR COMPANY

We are 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 OF ROLE

As a Consultant in Data 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 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 our company, 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, we 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©.  We are also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership.

CAREER DEVELOPMENT & GROWTH OPPORTUNITIES

  • Lead projects and develop advanced analytical and client-facing skills
  • Structured career progression from Consultant, Senior Consultant, Manager, Senior Manager and beyond
  • Access to our 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, we offer equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age.  We strive to develop an inclusive work environment that reflects diversity within our teams.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.  These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.  If you would like more information about how your data is processed, please contact us.
Senior Consultant – Data Science & Marketing Effectiveness