At a Glance
- Tasks: Lead a team to develop data models that drive global marketing strategies.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a diverse team committed to innovation and career development.
- Why this job: Make a real impact on marketing strategies that reach millions worldwide.
- Qualifications: 7+ years in data science, strong coding skills, and leadership experience.
The predicted salary is between 80000 - 100000 € per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Whether people and businesses send money to another country, spend abroad, or make and receive international payments, Wise is on a mission to make their lives easier and save them money.
The Role
We’re looking for a Senior Data Science Manager to lead the team building the models that power our global marketing engine. You’ll be the strategic partner to our Global Marketing teams, building the LTV, MMM, and CRM models that pinpoint exactly where Wise scales next. This role is about bridging the gap between deep technical research and real‑world impact. By ensuring our model outcomes are robust, transparent, and—most importantly—actionable, you’ll turn complex data science into the insights that drive our mission and reach millions of customers worldwide.
What You’ll Do
- Drive Growth Strategy & Real Impact: Partner with Analytics, Marketing Channels Leads, and Finance to define the strategy for our marketing investments across the globe. You will be responsible for quantifying and communicating the business value and ROI of our data science initiatives, translating complex insights into actionable strategies for senior leadership.
- Technical Leadership & Innovation: Lead the research, experimentation, and rapid iteration in developing and evaluating advanced data science models for Marketing. This includes pioneering new approaches and refining existing methodologies for Marketing Mix Models (MMM), Customer Lifetime Value (LTV) modelling, and CRM modelling. You will drive innovation in how we build, validate, and deploy models that accurately predict customer behaviour, measure campaign effectiveness, and inform strategic marketing investments, directly contributing to Wise’s growth.
- Coach, Mentors & Scale: Lead, mentor, and grow the team building technical capabilities, fostering career development, and promoting knowledge sharing on cutting‑edge technologies and methodologies. You will also be responsible for prioritizing projects and allocating resources effectively within the data science team to ensure alignment with strategic objectives and timely delivery of impactful solutions.
WHAT YOU’LL BRING
- Technical Expertise: 7+ years hands‑on experience. Strong technical foundation with expertise in coding (Python, SQL). You possess deep expertise in lifetime value (LTV) modelling and econometrics / marketing mix modelling, complemented by a strong understanding of statistics, particularly Bayesian reasoning, which enables you to accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian approaches to machine learning, neural networks (ideally PyTorch), and a solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range of model types, confidently selecting between gradient boosting, neural networks, linear regression, or a blend, based on the specific problem and desired outcome.
- Leadership: 2+ years experience leading high‑performing data science teams, driving the development of models in Marketing. Demonstrated ability to build, scale, mentor, and retain top technical talent, fostering collaborative and innovative team cultures.
- Domain Expertise: Experience in marketing operations and strategy with a deep understanding of the customer lifecycle from a marketing perspective. This includes expertise in customer acquisition, retention, engagement strategies, marketing campaign drivers, and the unique data challenges inherent in measuring marketing effectiveness, LTV, MMM, and CRM.
- Communication & Influence: Excellent communication skills with the ability to translate complex technical concepts into strategic business language and build consensus across diverse stakeholder groups.
- Strategic Ownership & Pragmatism: Demonstrated ability to proactively identify impactful opportunities, influence business strategy, and drive initiatives to completion. You possess a pragmatic approach, effectively triaging requests and adapting analysis scope to achieve optimal outcomes in a fast‑paced environment.
Nice To Have But Not Essential
- An advanced degree (Masters / PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred.
- Experience within Financial Services or FinTech.
We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
Senior Data Science Manager - Marketing in London employer: hackajob
Wise is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Senior Data Science Manager, you will not only lead a talented team but also have the opportunity to shape impactful marketing strategies that reach millions globally. With a strong commitment to employee growth, diversity, and inclusion, Wise fosters a culture where every team member is empowered to contribute and advance their career in the fast-paced world of financial technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager - Marketing in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info about the company culture and maybe even a referral. We all know referrals can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your experience aligns with our goals in marketing and data science. We love candidates who can connect their skills to our mission of making money management easier for everyone.
✨Tip Number 3
Don’t just talk about your technical skills; demonstrate them! If you have a portfolio of projects or case studies, bring them along. We want to see how you’ve tackled real-world problems and made an impact in your previous roles.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of the Wise team. Let’s make it happen!
We think you need these skills to ace Senior Data Science Manager - Marketing in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Science Manager role. Highlight your experience in LTV, MMM, and CRM modelling, and show how your skills align with our mission at Wise.
Showcase Your Technical Skills:We want to see your coding prowess! Include specific examples of your work with Python, SQL, and any advanced data science models you've developed. This is your chance to shine!
Communicate Clearly:Remember, we value clear communication. When describing your past projects, break down complex concepts into simple terms. Show us how you can translate technical jargon into actionable insights for stakeholders.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Wise.
How to prepare for a job interview at hackajob
✨Know Your Data Science Inside Out
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your experience with LTV and MMM models, as well as your understanding of Bayesian reasoning. Prepare to explain how you've applied these concepts in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored and developed talent in the past. Highlight your experience in fostering a collaborative environment and driving innovation within your team.
✨Translate Technical Jargon into Business Value
Practice explaining complex data science concepts in simple terms. You’ll need to communicate effectively with non-technical stakeholders, so think about how you can convey the business impact of your work, particularly in terms of marketing strategies and ROI.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and strategic thinking. Think of specific examples where you've identified opportunities or tackled challenges in marketing data science. Be ready to discuss how you prioritised projects and made decisions under pressure.
