- 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 clients and projects, confidently delivering out-of-scope projects
- Collaborating with data analytics, data science & engineering teams, and global Centre of Excellence
- Developing new product solutions using programming languages
- Championing data-driven decision making throughout Havas
- Staying up-to-date with industry developments and enhancing econometric offerings
ASSUMPTION: This role requires a strong client focus, excellent communication skills, and the ability to manage multiple projects simultaneously.
📋 Key Responsibilities
- Client Management & Project Delivery:
- Present analysis to stakeholders with confidence
- Manage internal and external teams to extract maximum value from solutions
- Collaborate with directors and wider team to push forward the media measurement agenda
- Make use of bespoke modelling software and champion its further development and usage across Havas Group
- Data Analysis & Modelling:
- Develop and implement scenario-planning solutions based on econometric models
- Ensure all modelling solutions are robust, insightful, and actionable
- Create visually compelling and insightful presentations for effective information sharing
- Teamwork & Innovation:
- Support and mentor junior team members, contributing to their training and development
- Collaborate with teams across Havas to identify opportunities in data science and drive innovation in marketing effectiveness
- Contribute to the development of econometrics industry benchmarking solutions
ASSUMPTION: This role involves a high degree of independence and requires strong organizational skills to manage multiple projects and meet deadlines.
🎯 Required Qualifications
- Education: Degree level or above, ideally econometrics or statistics focused
- Experience: Minimum of two years of hands-on experience in econometric modelling
- Required Skills:
- Strong data storytelling and presentation skills
- Deep understanding of econometric modelling theory and methodology
- Proficiency in Excel and other relevant tools
- Experience developing and implementing scenario-planning solutions based on econometric models
- Strong organizational skills, managing multiple projects, meeting deadlines, and prioritizing tasks effectively
- Expertise in extracting, processing, and transforming diverse datasets
- Ability to create visually compelling and insightful presentations
- 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
- 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, etc.)
- Exposure to GCP or Web Analytics
- Exposure to Data Viz tools (Power BI/Tableau/Data Studio)
ASSUMPTION: While not explicitly stated, proficiency in R and Python is highly desirable for this role.
💰 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 pension scheme
- Private medical insurance
- Life assurance
- 25 days' annual leave
- Flexible working hours
- Employee assistance program
- Learning and development opportunities
- Working Hours: 40 hours per week, with flexibility for working from home
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and skills.
📌 Applicant Insights
🔍 Company Context
- Industry: Advertising Services
- Company Size: 10,001+ employees
- Founded: 1835
- Company Description: Havas is one of the world’s largest global communications networks, with more than 23,000 people in over 100 markets sharing one single mission: to make a meaningful difference to brands, businesses, and people. 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, supercharged by data, tech, and AI, but powered by humans. Through its 70+ Havas Villages around the world, covering all communication activities, Havas’ teams work together with agility and in perfect synergy to offer tailor-made, innovative solutions to clients that support them in their positive transformation. Havas is committed to building a diverse culture where everybody feels they belong and can be themselves and thrive.
- Company Specialties: Advertising, Marketing, Public Relations, Healthcare Communications, Entertainment, and more
📊 Role Analysis
- Career Level: Mid-career, with opportunities for growth and leadership
- Reporting Structure: This role reports directly to the Marketing Science Director and works closely with data analytics, data science & engineering teams, and the global Centre of Excellence.
- Work Arrangement: On-site, with potential flexibility for remote work
- Growth Opportunities:
- Lead analyst on econometric projects, responsible for data preparation, modelling, and overall project delivery
- Contribute to the development of new data science products and solutions to improve agency workflows or bring in new revenue streams
- Potential to take on a leadership role within the team and agency
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to take on more responsibilities and advance their career within the agency.
🌍 Location & Work Environment
- Office Type: Havas Village London - 35, Pancras Square, London, N1C 4AG
- Office Location(s): London, United Kingdom
- Geographic Context:
- London is a vibrant, multicultural city with a rich history and diverse cultural scene
- The office is located in the King's Cross neighborhood, known for its vibrant arts and entertainment scene, as well as its proximity to major transportation links
- Work Schedule: Standard office hours, with flexibility for working from home
ASSUMPTION: While the role is based in London, Havas Group offers flexible working arrangements, allowing employees to balance their work and personal lives effectively.
💼 Interview & Application Insights
- Typical Process:
1. Online application and CV submission
2. Phone or video screening with the Hiring Manager
3. In-depth interview with the Marketing Science Director and a member of the HR team
4. Final interview with the Global Head of Marketing Science
- Key Assessment Areas:
- Technical skills in econometric modelling and data analysis
- Communication and presentation skills
- Client management and project delivery capabilities
- Cultural fit and alignment with Havas Group's values
- Application Tips:
1. Tailor your CV and cover letter to highlight your relevant skills and experience for this role
2. Prepare examples of your work showcasing your data analysis, modelling, and presentation skills
3. Research Havas Group and the Marketing Science team to demonstrate your understanding of the company and role
4. Practice your presentation skills and be ready to discuss your approach to data-driven decision making
ASSUMPTION: Havas Group values candidates who can demonstrate their ability to work independently, manage multiple projects, and collaborate effectively with cross-functional teams.
🛠️ Tools & Technologies
- Excel, R, Python, SQL, Eviews, Power BI/Tableau/Data Studio, GCP, Web Analytics, Nielsen, YouGov, ONS, OECD, GfK, and more
ASSUMPTION: While not an exhaustive list, these tools are relevant to the role and may be used in the course of work. Familiarity with these tools is desirable but not always required.
👔 Cultural Fit Considerations
- Company Values: Havas Group's values include being bold, creative, collaborative, and data-driven. They seek candidates who embody these values and can contribute to their positive transformation.
- Work Style: Havas Group values a high-energy, positive, can-do attitude, with a focus on strategic problem-solving and transforming models into real-life planning.
- Self-Assessment Questions:
1. How do you balance statistical robustness with practical client requirements in your model building approach?
2. Can you provide an example of a time when you had to overcome unique sector characteristics or limited data availability in your modelling work?
3. How do you ensure that your modelling solutions are robust, insightful, and actionable?
ASSUMPTION: Havas Group values candidates who can demonstrate their ability to work effectively in a fast-paced environment and manage multiple projects simultaneously.
⚠️ Potential Challenges
- Role-Specific Challenges:
- Managing multiple projects and clients simultaneously
- Working with diverse datasets and ensuring data quality
- Keeping up-to-date with industry developments and new tools
- Company-Specific Challenges:
- Working in a large, global organization with multiple teams and stakeholders
- Balancing client needs with internal team dynamics
- Location-Specific Challenges:
- Commuter traffic and congestion in the London area
- High cost of living in London compared to other UK cities
ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for growth and learning in the role.
📈 Similar Roles Comparison
- Role Differences:
- This role focuses on marketing mix modelling, while related positions may specialize in digital attribution, TV attribution, or other specific marketing channels
- This role requires a strong client focus and project management skills, while related positions may emphasize more technical aspects of data analysis and modelling
- Industry-Specific Context:
- The advertising industry is dynamic and ever-evolving, with new channels and technologies emerging constantly
- Marketing Science Managers play a crucial role in helping clients navigate this changing landscape and make data-driven decisions
- Career Path Comparison:
- This role offers a clear path for career progression, with opportunities to take on more responsibilities and advance within the agency
- Related roles may offer similar growth opportunities, depending on the specific organization and its structure
ASSUMPTION: While this role shares similarities with related positions, it also presents unique challenges and growth opportunities for the right candidate.
📝 Sample Projects
- Developing and implementing a marketing mix model for a major retail client, incorporating both online and offline channels
- Creating a custom econometric model for a financial services client to optimize their marketing spend and maximize ROI
- Collaborating with the data science team to develop a predictive model for customer churn, using machine learning techniques
ASSUMPTION: These sample projects demonstrate the breadth of work and the diverse range of clients that the Marketing Science Manager may encounter in this role.
❓ Key Questions to Ask During Interview
- Role-Specific Questions:
1. How does the Marketing Science team collaborate with other departments within Havas Group?
2. What are the most challenging projects that the team has faced in the past, and how were they overcome?
3. How does the team ensure that their modelling solutions are robust, insightful, and actionable?
- Company-Specific Questions:
1. How does Havas Group support the professional development and growth of its employees?
2. What are the key priorities for the Marketing Science team in the coming year?
3. How does Havas Group foster a culture of innovation and continuous learning?
- Work Environment Questions:
1. What is the typical work-life balance like for this role?
2. How does the team support each other and collaborate effectively, especially when working on multiple projects simultaneously?
3. What are the most rewarding aspects of working in the Marketing Science team at Havas Group?
ASSUMPTION: Asking these questions demonstrates your interest in the role and helps you better understand the work environment and company culture.
📝 Next Steps for Applicants
- To apply for this position:
1. Submit your application through [this link](https://havas.wd3.myworkdayjobs.com/GroupExternalCareerSite/job/London/Marketing-Science-Manager_JR0083747-1)
2. Tailor your resume to highlight your relevant skills and experience for this role
3. Write a cover letter explaining your interest in the position and how your background and skills make you a strong fit
4. Prepare examples of your work showcasing your data analysis, modelling, and presentation skills
5. Practice your presentation skills and be ready to discuss your approach to data-driven decision making
6. 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.
