At a Glance
- Tasks: Lead a team to develop data models that drive global marketing strategies.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career development.
- Why this job: Make a real impact on marketing strategies that reach millions worldwide.
- Qualifications: 7+ years in data science with strong coding skills and leadership experience.
The predicted salary is between 80000 - 100000 € per year.
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
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 prioritising projects and allocating resources effectively within the data science team to ensure alignment with strategic objectives and timely delivery of impactful solutions.
Qualifications What You’ll Bring
- Technical Expertise: 7+ years hands‑on experience. Strong technical foundation with expertise in coding (Python, SQL). Deep expertise in LTV modelling and econometrics / marketing mix modelling, complemented by a strong understanding of statistics, particularly Bayesian reasoning, enabling accurate estimation and actionable insights. 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. Proficient in choosing appropriate model types: gradient boosting, neural networks, linear regression, or blends, based on problem and desired outcome.
- Leadership: 2+ years experience leading high‑performing data science teams, driving development of models in Marketing. Demonstrated ability to build, scale, mentor, and retain top technical talent, fostering collaborative and innovative cultures.
- Domain Expertise: Experience in marketing operations and strategy with a deep understanding of the customer lifecycle from a marketing perspective. Expertise in customer acquisition, retention, engagement strategies, marketing campaign drivers, and challenges in measuring marketing effectiveness, LTV, MMM, and CRM.
- Communication & Influence: Excellent communication skills with ability to translate complex technical concepts into strategic business language and build consensus across diverse stakeholder groups.
- Strategic Ownership & Pragmatism: Ability to proactively identify impactful opportunities, influence business strategy, and drive initiatives to completion. Pragmatic approach, effectively triaging requests and adapting analysis scope to achieve optimal outcomes in fast‑paced environments.
Nice to Have but Not Essential
- An advanced degree (Masters / PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields.
- Experience within Financial Services or FinTech.
Senior Data Science Manager - Marketing in London employer: Dangote Industries Limited
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 focus on employee growth, cutting-edge technology, and a culture that values transparency and mentorship, Wise is committed to making your career journey both meaningful and rewarding.
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 folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects and be ready to discuss how they relate to the role. Real-world examples speak louder than words.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our mission.
We think you need these skills to ace Senior Data Science Manager - Marketing in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Science Manager. Highlight your experience with LTV, MMM, and CRM models, and don’t forget to showcase your leadership skills. We want to see how you can bridge technical expertise with real-world impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science in marketing and how your background aligns with our mission at Wise. Be sure to mention specific projects or achievements that demonstrate your strategic thinking and technical prowess.
Showcase Your Technical Skills:We’re looking for someone with a strong technical foundation, so don’t hold back! Include details about your coding experience in Python and SQL, as well as any advanced modelling techniques you’ve used. The more we know about your toolkit, the better!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Dangote Industries Limited
✨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 modelling and marketing mix models, as well as any innovative approaches you've pioneered. This role is all about bridging complex data science with real-world impact, so be prepared to explain how your work has driven results.
✨Showcase Your Leadership Skills
As a Senior Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Think of examples where you've successfully built and scaled a team, and be ready to discuss how you've fostered a collaborative culture. Highlight your experience in prioritising projects and aligning them with strategic objectives.
✨Communicate Like a Pro
You’ll need to translate complex technical concepts into business language, so practice explaining your past projects in simple terms. Prepare to discuss how your insights have influenced marketing strategies and decisions. Strong communication skills will help you build consensus across diverse stakeholders.
✨Be Ready for Real-World Scenarios
Expect to tackle case studies or hypothetical scenarios during the interview. Think about how you would approach quantifying the ROI of data science initiatives or measuring campaign effectiveness. This will show your strategic ownership and pragmatic approach to problem-solving in fast-paced environments.
