Marketing Science Manager

📌 Core Information - Job Title: Marketing Science Manager - Company: Havas Group - Location: London, England, United Kingdom - Job Type: On-site, Full-time - Category: Advertising Services - Date Posted: July 21, 2025 🚀 Job Overview Key aspects of this role include: 1. Client Management: Presenting analysis to stakeholders and managing client relationships to ensure maximum impact on business outcomes. 2. Project Leadership: Managing multiple projects, meeting deadlines, and prioritizing tasks effectively. 3. Data-driven Decision Making: Leveraging econometric modelling to inform strategic decisions and drive business growth. 4. Innovation: Developing new data science products and solutions to improve agency workflows or bring in new revenue streams. 5. Collaboration: Working closely with various teams, including Data Analytics, Data Science & Engineering, and the global Centre of Excellence. ASSUMPTION: This role requires a strong client focus, excellent communication skills, and the ability to work autonomously while collaborating effectively with cross-functional teams. 📋 Key Responsibilities - 📊 Analysis & Presentation: Present analysis to wider stakeholders, including clients and colleagues within the agency, with confidence. - 🤝 Stakeholder Management: Manage internal and external teams to extract maximum value from Havas' solutions. - 💻 Coding & Product Development: Code to streamline work processes and develop new product solutions using programming languages. - 🌐 Global Collaboration: Work with the global Centre of Excellence teams to deliver best-in-class econometric solutions on-time and to the agreed scope-of-work. - 💡 Strategic Contribution: Collaborate with Directors and the wider team to push forward Havas' media measurement agenda. - 🛠️ Software Champion: Champion Havas' bespoke modelling software and drive its further development and usage across the group. - 📈 Data-driven Culture: Champion data-driven decision making throughout Havas. - 💡 Product Innovation: Develop new data science products and solutions to improve agency workflows or bring in new revenue streams. - 📈 Project Leadership: Assist in project lead roles for multiple revenue-generating econometric modelling solutions. - 🧑‍🏫 Mentorship & Training: Support and mentor junior team members, contributing to their training and development. - 🤝 Cross-functional Collaboration: Collaborate with teams across Havas to identify opportunities in data science and drive innovation in marketing effectiveness. - 📚 Industry Development: Stay up to date with industry developments and contribute to the development of econometrics industry benchmarking solutions. ASSUMPTION: This role requires strong data storytelling and presentation skills, as well as the ability to interpret data to uncover and communicate key insights both verbally and in writing. 🎯 Required Qualifications Education: - Degree-level education, ideally in econometrics or statistics. Experience: - Minimum of two years' hands-on experience in econometric modelling. Required Skills: - Strong data storytelling and presentation skills. - Client-focused approach, ensuring results are delivered with maximum impact on 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 and 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 eco-system. - 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). - 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 econometrics or statistics-focused degrees. - Familiarity with a range of data sets and industry tools (e.g., Nielsen, YouGov, ONS, OECD, GfK). ASSUMPTION: Candidates with experience in the advertising industry, familiarity with media agency data sets, and exposure to relevant tools and technologies will be at an advantage. 💰 Compensation & Benefits Salary Range: £45,000 - £60,000 per annum (based on experience level and industry standards for marketing science managers in London). Benefits: - Competitive salary and benefits package. - Generous pension scheme. - Private healthcare and dental insurance. - Life assurance and income protection. - 25 days' annual leave, plus bank holidays. - Flexible working hours and remote work options. - Employee assistance program. - Access to learning and development opportunities. - Discounted gym membership and other employee discounts. Working Hours: Full-time (35 hours per week), with flexibility to work from home occasionally. ASSUMPTION: The salary range provided is an estimate based on industry standards for marketing science managers 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 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 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, PR, Healthcare, Entertainment, CRM, Data Science, Analytics, and Media. Company Website: Havas Group ASSUMPTION: Havas' extensive global presence, diverse service offerings, and commitment to data-driven decision making make it an attractive employer for marketing science professionals seeking to work on a wide range of projects and collaborate with talented teams. 📊 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 (DNA) team. Work Arrangement: On-site, full-time, with flexibility to work from home occasionally. Growth Opportunities: - Opportunities to take on more responsibility and lead projects as the team grows. - Potential to progress to a senior or management role within the team or wider Havas Media Group. - Exposure to global Centre of Excellence teams, providing opportunities for international collaboration and learning. - Access to learning and development opportunities within Havas' extensive training program. ASSUMPTION: This role offers strong growth potential for candidates looking to advance their career in marketing science and data analytics within a large, global communications network. 🌍 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 city with a vibrant advertising and marketing industry. - The Havas Village London is located in the King's Cross neighborhood, offering easy access to public transportation and various amenities. - The office is situated in a modern, collaborative workspace designed to foster creativity and innovation. Work Schedule: Full-time (35 hours per week), with flexibility to work from home occasionally. ASSUMPTION: Candidates who enjoy working in a dynamic, multicultural environment and thrive in a fast-paced, collaborative setting will find Havas' work environment appealing. 💼 Interview & Application Insights Typical Process: 1. Online application submission. 2. Phone or video screening with the Hiring Manager. 3. In-depth telephone or video interview with the Hiring Manager and a team member. 4. Final on-site interview with the Hiring Manager, team members, and a Director. Key Assessment Areas: - Technical skills and experience in econometric modelling. - Data storytelling and presentation skills. - Client management and stakeholder communication. - Problem-solving and project management skills. - Cultural fit and alignment with Havas' values. Application Tips: - Tailor your resume and cover letter to highlight relevant skills and experiences for this role. - Showcase your ability to interpret data and communicate insights effectively. - Demonstrate your understanding of the advertising industry and Havas' unique offerings. - Prepare examples of your past econometric modelling projects and their impact on business outcomes. - Research Havas' company culture and values, and be ready to discuss how you align with them. ATS Keywords: Econometric Modelling, Regression, R, Python, Excel, Data Storytelling, Client Management, Data Collection, Data Cleansing, Scenario Planning, Project Management, Data Processing, Presentation Skills, Creative Problem Solving, Team Collaboration, Continuous Learning, Marketing Mix Modelling, Data-driven Decision Making, Marketing Science, Marketing Analytics, Data Science, Analytics, Advertising Services, Havas Group, Havas Media Group, Havas DNA, Marketing Science Manager. ASSUMPTION: Applicants who demonstrate a strong understanding of econometric modelling, data storytelling, and client management skills will have a competitive edge in the interview process. 🛠️ Tools & Technologies - Econometric modelling software (e.g., Eviews, R, Python, SQL). - Data visualization tools (e.g., Power BI, Tableau, Data Studio). - Programming languages (e.g., Python, R, SQL). - Statistical software (e.g., SPSS, Stata). - Database management systems (e.g., SQL Server, MySQL, PostgreSQL). - Marketing mix modelling tools (e.g., Meridian, Robyn, Adobe). - Web analytics tools (e.g., Google Analytics, Adobe Analytics). - Big data platforms (e.g., Hadoop, Spark, AWS, GCP). ASSUMPTION: Candidates with experience using relevant tools and technologies in the advertising industry will be at an advantage. 👔 Cultural Fit Considerations Company Values: - Inventive: We dare to think differently and challenge the status quo. - Curious: We are driven by a desire to learn and understand. - Kind: We treat everyone with respect and kindness. - Tenacious: We are persistent and determined in our pursuit of success. - Collaborative: We work together to achieve our goals. Work Style: - Agile: We are adaptable and responsive to change. - Data-driven: We make decisions based on data and insights. - Inclusive: We foster an environment where everyone feels valued and respected. - Creative: We encourage innovation and new ideas. - Collaborative: We work together to achieve our goals. Self-Assessment Questions: 1. How do you align with Havas' company values, particularly 'Inventive' and 'Tenacious' in the context of this role? 2. How do you ensure that your data-driven insights are communicated effectively to both technical and non-technical stakeholders? 3. Describe your approach to managing multiple projects and prioritizing tasks effectively. ASSUMPTION: Candidates who demonstrate a strong understanding of Havas' company values and can articulate how their work style aligns with the company culture will be well-positioned for success. ⚠️ Potential Challenges 1. Workload: Balancing multiple projects, meeting deadlines, and prioritizing tasks effectively can be challenging, especially during peak periods. 2. Stakeholder Management: Managing expectations and delivering results to both internal and external teams can be complex, requiring strong communication and negotiation skills. 3. Data Quality: Ensuring the accuracy and reliability of data can be challenging, given the diverse sources and potential errors that may arise. 4. Technical Complexity: Econometric modelling can be technically demanding, requiring a solid understanding of statistical theory and relevant tools. 5. Industry Trends: Keeping up-to-date with industry developments and best practices can be challenging, given the fast-paced nature of the advertising industry. ASSUMPTION: Candidates who can effectively manage their workload, navigate complex stakeholder relationships, and adapt to technical challenges will be well-equipped to succeed in this role. 📈 Similar Roles Comparison 1. Marketing Science Manager (Havas Group) vs. Marketing Science Manager (Other Advertising Agencies): - Havas Group offers a more extensive global presence, diverse service offerings, and a larger team size, providing opportunities for broader collaboration and learning. - Other advertising agencies may offer more specialized or niche-focused services, allowing for deeper expertise in specific areas. 2. Marketing Science Manager (Havas Group) vs. Marketing Science Manager (Consulting Firms): - Havas Group focuses on delivering end-to-end communications solutions, while consulting firms may prioritize strategic consulting and advisory services. - Havas Group offers a more creative and collaborative work environment, while consulting firms may emphasize structured problem-solving and analytical rigor. ASSUMPTION: Candidates should consider their preferred work environment, industry focus, and career goals when comparing this role to similar positions in other organizations. 📝 Sample Projects 1. Marketing Mix Modelling for a Retail Client: Develop and implement a marketing mix model to optimize marketing spend and maximize ROI for a major retail client, considering various channels and customer segments. 2. Attribution Modelling for an E-commerce Client: Create an attribution model to understand the impact of different marketing channels on online sales for an e-commerce client, enabling data-driven budget allocation and improved marketing performance. 3. Brand Lift Analysis for a CPG Client: Conduct a brand lift analysis to measure the impact of a CPG client's advertising campaigns on brand awareness, perception, and purchase intent, informing future marketing strategies. ASSUMPTION: Candidates should be prepared to discuss their experience with relevant projects and how they have applied econometric modelling to drive business growth and improve marketing effectiveness. ❓ Key Questions to Ask During Interview 1. Role Responsibilities: What are the key priorities for this role in the first 30-60-90 days, and how do they align with my career goals? 2. Team Structure: How is the Marketing Science team structured, and what opportunities are there for collaboration and learning within the wider Havas Media Group? 3. Company Culture: How does Havas' company culture support the success of Marketing Science Managers, and what steps does the company take to foster a positive work environment? 4. Professional Development: What opportunities are there for professional growth and development within the role and the wider Havas Group? 5. Work-Life Balance: How does Havas support work-life balance for its employees, particularly in this role? ASSUMPTION: Candidates should ask thoughtful, informed questions that demonstrate their interest in the role and the company, while also addressing any concerns or uncertainties they may have. 📝 Next Steps for Applicants To apply for this position: 1. Submit your application through the following link: Marketing Science Manager 2. Tailor your resume and cover letter to highlight relevant skills and experiences for this role. 3. Prepare examples of your past econometric modelling projects and their impact on business outcomes. 4. Research Havas' company culture and values, and be ready to discuss how you align with them. 5. Follow up with the Hiring Manager one week after submitting your application to express your interest and reiterate your qualifications. ⚠️ Disclaimer This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.