- Job Title: Marketing Science Manager
- Company: Havas Group
- Location: London, United Kingdom
- Job Type: On-site, Full-time
- Category: Advertising Services
- Date Posted: May 15, 2025
🚀 Job Overview
Key aspects of this role include:
- Managing and delivering econometric solutions to clients and stakeholders
- Collaborating with diverse teams to enhance media measurement and develop new data science products
- Presenting complex findings in a clear and engaging manner
- Working with the latest tools and technologies in marketing analytics
ASSUMPTION: This role requires a strong background in econometric modelling and data storytelling, with a minimum of two years of relevant experience.
📋 Key Responsibilities
- Stakeholder Management: Present analysis to clients and colleagues, manage internal and external teams to extract maximum value from solutions, and ensure project delivery meets agreed scope and timeline.
- Data Analysis & Modelling: Develop and deliver new product solutions using programming languages, manage Centre of Excellence teams to deliver best-in-class econometric solutions, and ensure all modelling solutions are robust, insightful, and actionable.
- Team Collaboration: Collaborate with Directors and the wider team to push forward the media measurement agenda, champion the use of bespoke modelling software, and drive innovation in marketing effectiveness.
- Project Management: Lead analyst on econometric projects, responsible for data preparation, modelling, and overall project delivery, and assist in project lead for multiple revenue-generating econometric modelling solutions.
- Business Development: Contribute to the development of econometric industry benchmarking solutions and enhance econometric offerings by staying up-to-date with industry developments.
ASSUMPTION: This role requires strong organizational skills, the ability to manage multiple projects effectively, and a continuous learning mindset to keep up with the latest trends in marketing and modelling.
🎯 Required Qualifications
- Education: Degree-level education, ideally focused on econometrics or statistics.
- Experience: Minimum of two years of hands-on experience in econometric modelling, with a strong understanding of econometric modelling theory and methodology.
- Required Skills:
- Proficiency in R, Python, SQL, and Excel
- Strong data storytelling and presentation skills
- Client-focused approach with a results-driven mindset
- Deep understanding of econometric modelling theory and methodology
- Balanced approach to model building, combining statistical robustness with practical client requirements
- Creative problem-solving skills and ability to work with diverse datasets
- Experience developing and implementing scenario-planning solutions based on econometric models
- Strong organizational skills and ability to manage multiple projects effectively
- Expertise in extracting, processing, and transforming diverse datasets
- 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
- Familiarity with industry topics and modelling solution partners (e.g., Meridian, Robyn, Adobe)
- Exposure to GCP or Web Analytics and Data Viz tools (Power BI/Tableau/Data Studio)
ASSUMPTION: This role requires a strong foundation in econometric modelling and data analysis, with a willingness to learn and adapt to new tools and technologies.
💰 Compensation & Benefits
- Salary Range: £45,000 - £60,000 per annum (based on industry standards for a Marketing Science Manager with 2-5 years of experience in London)
- Benefits:
- Competitive salary package
- Generous holiday entitlement
- Pension scheme
- Private healthcare
- Life assurance
- Employee assistance program
- Flexible working hours
- On-site gym and subsidized canteen
- Opportunities for professional development and training
- Working Hours: Full-time (37.5 hours per week), with flexibility for working from home when needed
ASSUMPTION: The salary range provided is an estimate based on industry standards for a Marketing Science Manager with 2-5 years of experience in London. Actual compensation may vary based on the candidate's skills, experience, and the company's internal pay structure.
📌 Applicant Insights
🔍 Company Context
- Industry: Advertising Services
- Company Size: 10,001+ employees
- Founded: 1835
- Company Description: Havas is a global communications network with over 23,000 employees in more than 100 markets, founded in 1835 in Paris. It offers integrated communications solutions, supercharged by data, tech, and AI, but powered by humans. Havas is committed to building a diverse culture where everybody feels they belong and can thrive.
- Company Specialties: Advertising, Marketing, Public Relations, Healthcare, Entertainment, and more.
📊 Role Analysis
- Career Level: Mid-career level, with opportunities for growth and progression
- Reporting Structure: This role reports directly to the Directors of the CSA team and collaborates with various teams across Havas, including Data Analytics, Data Science & Engineering, and the global Centre of Excellence.
- Work Arrangement: On-site, full-time, with flexibility for working from home when needed
- Growth Opportunities: This role offers opportunities to grow within the CSA team, take on more responsibilities, and potentially move into management or senior management positions. There are also opportunities to work on high-profile client projects and contribute to the development of new data science products.
ASSUMPTION: This role is well-suited for an experienced modeller looking to take the next step in their career, with a strong desire to manage clients and projects, and a keen interest in driving innovation in marketing effectiveness.
🌍 Location & Work Environment
- Office Type: On-site, with a modern and collaborative work environment
- Office Location: The HAVAS Village London - 35, Pancras Square, London, N1C 4AG
- Geographic Context: London, a vibrant and multicultural city with a thriving advertising industry
- Work Schedule: Full-time, with core hours from 9:00 AM to 5:30 PM, and flexibility for working from home when needed
ASSUMPTION: This role is based in the heart of London, offering easy access to public transportation, shops, restaurants, and cultural attractions. The HAVAS Village London provides a modern and collaborative work environment, with on-site amenities such as a gym and subsidized canteen.
💼 Interview & Application Insights
- Typical Process: The application process typically involves an initial phone or video screen, followed by one or two on-site interviews with a mix of technical and behavioral questions. The final stage may include a presentation or case study.
- Key Assessment Areas: Technical skills in econometric modelling, data analysis, and programming languages; problem-solving skills; communication and presentation skills; and cultural fit with the HAVAS Group's values.
- Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role.
- Prepare for technical interviews by brushing up on your econometric modelling and data analysis skills, and be ready to discuss your approach to problem-solving and managing multiple projects.
- Research HAVAS Group's values and be prepared to discuss how your personal values align with the company's culture.
- Practice presenting complex findings in a clear and engaging manner, as this is a crucial aspect of the role.
ASSUMPTION: The application process for this role is designed to assess both technical skills and cultural fit, with a focus on finding the best candidate for the team and the company.
🛠️ Tools & Technologies
- R, Python, SQL, Excel, Power BI, Tableau, Data Studio, GCP, Web Analytics, Nielsen, YouGov, ONS, OECD, GfK, and other industry-specific tools.
ASSUMPTION: This role requires proficiency in a range of tools and technologies, with a willingness to learn and adapt to new tools as needed.
👔 Cultural Fit Considerations
- Company Values: HAVAS Group's values include being bold, creative, collaborative, and passionate. The company seeks individuals who are curious, strategic problem solvers, and comfortable working in a fast-paced environment.
- Work Style: The ideal candidate for this role is an ambassador for the CSA team, who can represent and promote the team's work and contribute to its growth and success. They should be equally comfortable with technical discussions as in describing modelling to the layperson, and have a high energy, positive, can-do attitude.
Self-Assessment Questions:
1. How do your personal values align with HAVAS Group's values, and how do you demonstrate these values in your work?
2. Can you provide an example of a time when you had to explain complex findings to a non-technical audience, and how did you ensure they understood the key insights?
3. How do you approach managing multiple projects and prioritizing tasks effectively, especially when faced with tight deadlines?
ASSUMPTION: HAVAS Group places a strong emphasis on cultural fit, seeking candidates who align with the company's values and work style, and who can contribute to the team's success.
⚠️ Potential Challenges
- Balancing multiple projects and meeting tight deadlines
- Keeping up with the latest trends in marketing and modelling
- Working with diverse datasets and ensuring data quality
- Managing client relationships and expectations
- Collaborating effectively with various teams across HAVAS Group
ASSUMPTION: These challenges can be overcome by strong organizational skills, a continuous learning mindset, and effective communication and collaboration with team members and stakeholders.
📈 Similar Roles Comparison
- Marketing Science Manager vs. Marketing Data Analyst: A Marketing Science Manager focuses more on strategic decision-making, stakeholder management, and project leadership, while a Marketing Data Analyst is more focused on data analysis, modelling, and reporting. The Marketing Science Manager role requires a broader range of skills and a deeper understanding of business context.
- Industry-specific context: The advertising industry is dynamic and fast-paced, with a constant need to adapt to new trends and technologies. Marketing Science Managers must stay up-to-date with industry developments and work alongside Directors to enhance econometric offerings.
- Career path comparison: A Marketing Science Manager role can lead to career progression into senior management positions, such as Director or Head of Marketing Science. Alternatively, it can provide a pathway into related roles, such as Head of Data Science or Chief Data Officer.
ASSUMPTION: This role offers a unique blend of technical and leadership skills, with opportunities for career growth and progression within the HAVAS Group.
📝 Sample Projects
- Developing and implementing a new scenario-planning solution based on econometric models for a major retail client
- Collaborating with the global Centre of Excellence team to deliver best-in-class econometric solutions for a multinational FMCG client
- Managing a project to enhance media measurement for a leading automotive brand, working closely with the Directors and the wider team
ASSUMPTION: These sample projects demonstrate the range of responsibilities and the level of collaboration required for this role, highlighting the importance of strong project management and stakeholder management skills.
❓ Key Questions to Ask During Interview
1. What are the key priorities for this role in the first 30-60-90 days?
2. How does this role fit into the broader team structure and the company's long-term goals?
3. What are the most challenging aspects of this role, and how can I best prepare to tackle them?
4. How does the company support the professional development and growth of its employees?
5. What are the key performance indicators (KPIs) for this role, and how will my success be measured?
ASSUMPTION: These questions are designed to provide insight into the role's expectations, the team's dynamics, and the company's commitment to employee growth and development.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through [this link](https://havas.wd3.myworkdayjobs.com/MediaExternalCareerSite/job/London/Marketing-Science-Manager_JR0083747).
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role, emphasizing your technical expertise in econometric modelling and data analysis, as well as your strong organizational skills and ability to manage multiple projects effectively.
- Prepare for technical interviews by brushing up on your econometric modelling and data analysis skills, and be ready to discuss your approach to problem-solving and managing multiple projects.
- Research HAVAS Group's values and be prepared to discuss how your personal values align with the company's culture.
- Practice presenting complex findings in a clear and engaging manner, as this is a crucial aspect of the role.
- Follow up with the hiring manager one week after submitting your application, inquiring about the status of your application and expressing your continued interest in the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
