Marketing Science Manager

Havas Group

Full-time

On-site

London, England, United Kingdom

🌐 Digital Marketing

📌 Core Information

🔹 Job Title: Marketing Science Manager

🔹 Company: Havas Group

🔹 Location: London, England, United Kingdom

🔹 Job Type: On-site, Full-time

🔹 Category: Marketing

🔹 Date Posted: July 21, 2025

🔹 Experience Level: Mid-level (2-5 years)

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

Leading and managing marketing mix modelling projects for clients
Collaborating with cross-functional teams to deliver innovative data-driven solutions
Presenting complex findings to stakeholders in a clear and engaging manner
Contributing to the development of new data science products and solutions
Working with global Centre of Excellence teams to deliver best-in-class econometric solutions

ASSUMPTION: This role requires a strong balance between technical expertise and client-facing skills, with a focus on delivering actionable insights that drive business outcomes.

📋 Key Responsibilities

Client Management & Stakeholder Communication:

Present analysis and findings to clients and internal stakeholders with confidence
Manage client relationships to ensure maximum value is extracted from Havas' solutions

Technical Skills & Project Delivery:

Leverage programming languages to streamline work processes and develop new product solutions
Successfully manage projects with the global Centre of Excellence teams, delivering on-time and to the agreed scope-of-work
Collaborate with directors and the wider team to push forward Havas' media measurement agenda
Champion Havas' bespoke modelling software and drive its further development and usage across the group

Data-Driven Decision Making & Innovation:

Be a champion for data-driven decision making throughout Havas
Develop new data science products and solutions to improve agency workflows or bring in new revenue streams
Assist in project lead roles for multiple revenue-generating econometric modelling solutions

ASSUMPTION: This role requires a high level of independence and initiative, with the ability to manage multiple projects and prioritize tasks effectively.

🎯 Required Qualifications

Education & Experience:

Education: Bachelor's degree in a relevant field (e.g., econometrics, statistics, or a related discipline)
Experience: Minimum of two years of hands-on experience in econometric modelling

Required Skills:

Strong data storytelling and presentation skills
Client-focused approach with a proven track record of delivering results that impact business outcomes
Deep understanding of econometric modelling theory and methodology
Balanced approach to model building, combining statistical robustness with practical client requirements
Creative problem-solving skills, overcoming challenges such as unique sector characteristics or limited data availability
Meticulous approach to data collection and cleansing, with proficiency in Excel and other relevant tools
Experience developing and implementing scenario-planning solutions based on econometric models
Strong organisational skills, managing multiple projects, meeting deadlines, and prioritizing tasks effectively
Lead analyst on econometric projects, responsible for data preparation, modelling, and overall project delivery
Expertise in extracting, processing, and transforming diverse datasets
Ability to create visually compelling and insightful presentations for effective information sharing
Continuous learning and application of econometric theories, analytical techniques, and relevant tools
Interpreting data to uncover and communicate key insights, both verbally and in writing
Supporting and mentoring junior team members, contributing to their training and development
Collaborating with teams across Havas, identifying opportunities in data science and driving innovation in marketing effectiveness
Staying up to date with industry developments, working alongside directors to enhance econometric offerings
Contributing to the development of econometrics industry benchmarking solutions

Preferred Skills:

Modelling and data wrangling experience in Python/R/SQL/Eviews
Experience with pitching analytics work or a willingness to learn
Experience handling large datasets using SQL/Big Query or learning to do so
Experience in data analysis using non-standard regression methodologies (Bayesian, Cross-sectional) or non-regression approaches
Experience working with the wider analytics team to develop end-to-end solutions to client challenges
A wider perspective of how econometric modelling fits into the wider measurement ecosystem
A point of view on the marketplace of marketing mix modelling providers
Familiarity with industry topics and modelling solution partners (e.g., Meridian, Robyn, Adobe)
An understanding of media agency data sets and challenges
Exposure to GCP or Web Analytics
Exposure to Data Viz tools (Power BI/Tableau/Data Studio)
Educated at degree level or above, ideally with a focus on econometrics or statistics
Familiarity with a range of data sets and industry tools (e.g., Nielsen, YouGov, ONS, OECD, GfK)

ASSUMPTION: While a strong technical background is essential, this role also requires a high level of emotional intelligence and the ability to build strong relationships with both clients and internal teams.

💰 Compensation & Benefits

Salary Range: £45,000 - £60,000 per annum (based on experience level and industry standards for marketing mix modelling roles in London)

Benefits:

Competitive pension scheme
Private medical insurance
Life assurance
25 days' annual leave (plus bank holidays)
Flexible working hours
Generous learning and development opportunities
Subsidized gym membership
Employee assistance program
Cycle to work scheme
Season ticket loan

Working Hours: Full-time (37.5 hours per week), Monday to Friday, with flexibility to work from home up to two days per week

ASSUMPTION: The salary range provided is an estimate based on industry standards for marketing mix modelling roles in London. The actual salary may vary depending on the candidate's experience and qualifications.

📌 Applicant Insights

🔍 Company Context

Industry: Advertising Services

Company Size: 10,001+ employees (global headquarters in Paris, France, with a significant presence in London)

Founded: 1835 (Paris, France)

Company Description:

Havas is one of the world’s largest global communications networks, with more than 23,000 people in over 100 markets
Founded in 1835 in Paris, Havas has developed a seamlessly integrated global strategy and operating system, Converged, designed to answer clients’ needs for standout, cross-functional, end-to-end communications solutions
Havas is committed to building a diverse culture where everybody feels they belong and can be themselves and thrive

Company Specialties:

Full-service advertising agency
Media planning and buying
Creative services
Public relations
Healthcare communications
Entertainment and sports marketing
Data-driven marketing and analytics

Company Website: https://www.havas.com/

ASSUMPTION: Havas' extensive global network and comprehensive range of services enable it to provide tailored, integrated solutions to clients, supporting their positive transformation.

📊 Role Analysis

Career Level: Mid-level (2-5 years of experience)

Reporting Structure: This role reports directly to the Head of Marketing Science within the Havas Media Group's Data & Analytics team

Work Arrangement: On-site, full-time, with flexibility to work from home up to two days per week

Growth Opportunities:

Progression to senior roles within the Marketing Science team or other data-driven positions within Havas
Expanding expertise in data science, machine learning, and other emerging technologies
Gaining experience in managing teams and driving strategic initiatives

ASSUMPTION: This role offers a clear path for career progression within Havas, with opportunities to specialize in data science or take on leadership responsibilities.

🌍 Location & Work Environment

Office Type: Havas Village London - 35 Pancras Square, London, N1C 4AG

Office Location(s): London, England, United Kingdom

Geographic Context:

London is a major global hub for advertising, marketing, and communications
The Havas Village London is a state-of-the-art campus that brings together all UK agencies and 1,700 people under one roof
The office is located in the King's Cross neighborhood, offering easy access to public transportation and numerous amenities

Work Schedule: Monday to Friday, with flexibility to work from home up to two days per week

ASSUMPTION: The Havas Village London provides an innovative and collaborative work environment that fosters cross-functional teamwork and knowledge sharing.

💼 Interview & Application Insights

Typical Process:

Online application review
Phone or video screening
On-site or virtual interview with the hiring manager and a member of the HR team
Final round interview with senior stakeholders
Background check and offer

Key Assessment Areas:

Technical skills and experience in econometric modelling
Data storytelling and presentation abilities
Client management and stakeholder communication
Problem-solving skills and adaptability
Cultural fit and alignment with Havas' values

Application Tips:

Tailor your resume and cover letter to highlight relevant skills and experiences for this role
Prepare for technical assessments and be ready to discuss your approach to data analysis and modelling
Demonstrate your understanding of Havas' business and the role of marketing science within the agency
Showcase your ability to work collaboratively and manage client relationships

ATS Keywords: Econometric Modelling, Marketing Mix Modelling, Data Storytelling, Client Management, Python, R, SQL, Excel, Data Collection, Data Cleansing, Scenario Planning, Project Management, Data Processing, Presentation Skills, Creative Problem-Solving, Team Collaboration, Continuous Learning, Industry Trends, Marketing Effectiveness

ASSUMPTION: The interview process for this role will focus on assessing both technical competencies and cultural fit, with a strong emphasis on data-driven decision making and client management skills.

🛠 Tools & Technologies

Programming languages: Python, R, SQL
Data visualization tools: Power BI, Tableau, Data Studio
Database management systems: GCP, Big Query
Marketing mix modelling software (e.g., Meridian, Robyn, Adobe)
Industry-specific tools: Nielsen, YouGov, ONS, OECD, GfK

ASSUMPTION: This role requires proficiency in a range of data analysis and modelling tools, with a strong emphasis on programming languages and data visualization.

👔 Cultural Fit Considerations

Company Values:

Curiosity
Bravery
Inclusion
Integrity
Creativity
Collaboration

Work Style:

Data-driven and analytical
Collaborative and team-oriented
Adaptable and responsive to change
Client-focused and results-driven
Continuously learning and improving

Self-Assessment Questions:

How do you ensure that your data-driven insights are actionable and relevant to clients?
Can you provide an example of a time when you had to adapt your approach to meet a client's unique needs or challenges?
How do you balance statistical robustness with practical client requirements in your model building process?

ASSUMPTION: Successful candidates for this role will demonstrate a strong alignment with Havas' values and a work style that emphasizes collaboration, adaptability, and continuous learning.

⚠️ Potential Challenges

Managing multiple projects and prioritizing tasks effectively in a fast-paced environment
Working with diverse datasets and ensuring data quality in a complex, real-world context
Communicating complex findings to non-technical stakeholders and ensuring they are understood and acted upon
Keeping up-to-date with industry trends and emerging technologies in data science and marketing

ASSUMPTION: While this role offers significant growth and learning opportunities, it also presents challenges that require strong project management, communication, and adaptability skills.

📈 Similar Roles Comparison

This role is similar to other marketing science or data analytics manager positions within advertising agencies, but with a stronger focus on econometric modelling and client management
Compared to roles within consulting firms or research institutions, this role offers more exposure to real-world data and the opportunity to drive business impact through data-driven decision making
In terms of career progression, this role provides a clear path to senior roles within Havas or other data-driven positions within the agency

ASSUMPTION: This role offers a unique blend of technical expertise, client management, and strategic problem-solving, making it an attractive opportunity for individuals interested in driving business impact through data-driven insights.

📝 Sample Projects

Developing a marketing mix modelling solution for a major retail client, optimizing their media spend and driving sales growth
Collaborating with the wider analytics team to create an end-to-end solution for a global FMCG client, improving their market share and brand awareness
Working with the Centre of Excellence team to deliver a bespoke econometric solution for a financial services client, enhancing their customer acquisition and retention strategies

ASSUMPTION: These sample projects illustrate the diverse range of opportunities available to marketing science managers within Havas, demonstrating the breadth of industry expertise and the global scale of the agency's client base.

❓ Key Questions to Ask During Interview

Can you describe the team structure and dynamics within the Marketing Science team?
How does this role fit into the broader data and analytics strategy at Havas?
What are the most pressing challenges facing the agency's clients in the current market landscape, and how can this role help address them?
How does Havas support the professional development and career growth of its marketing science team members?
Can you provide an example of a recent project that required innovative problem-solving or adaptation to unique client needs?

ASSUMPTION: Asking these questions will help you better understand the role's context, the team's dynamics, and the agency's priorities, enabling you to make a more informed decision about your fit for the position.

📌 Next Steps for Applicants

To apply for this position:

Submit your application through the following link: https://wd3.myworkdaysite.com/recruiting/havas/MediaExternalCareerSite/job/London/Marketing-Science-Manager_JR0085610
Tailor your resume and cover letter to highlight your relevant skills and experiences for this role
Prepare for technical assessments and be ready to discuss your approach to data analysis and modelling
Demonstrate your understanding of Havas' business and the role of marketing science within the agency
Showcase your ability to work collaboratively and manage client relationships
Follow up with the hiring manager one week after submitting your application to inquire about the status of your application

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.

Apply now

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