At a Glance
- Tasks: Lead high-impact predictive modelling projects to enhance customer credit journeys.
- Company: Join NewDay, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and supportive environment with a focus on innovation and collaboration.
- Why this job: Shape the future of data science and make a real impact on customer outcomes.
- Qualifications: Degree in analytical field and experience in data science delivery.
The predicted salary is between 70000 - 90000 € per year.
Are you ready to help shape how Data Science drives value across our entire customer credit journey? NewDay are looking for a Senior Manager, Data Science to lead the development of predictive modelling solutions that power smarter decisions, better customer outcomes, and significant commercial impact.
Why this role matters
As a senior leader in our Data Science team, you’ll lead the delivery of high‑impact modelling projects end‑to‑end — from early scoping with partner teams through to design, validation, governance, implementation, and ongoing performance monitoring. You’ll ensure our models are not only analytically excellent, but also robust, compliant, and production‑ready. This role is central to how NewDay uses data to understand customers, manage risk, and innovate responsibly. You’ll set the bar for quality, shape the roadmap, and create an environment where data scientists can do their best work.
How You’ll Contribute
- Lead the full lifecycle of predictive modelling projects — scoping, planning, delivery, validation, sign‑off, and ongoing ownership
- Ensure all solutions meet the highest standards of governance, regulatory compliance, and technical rigor
- Act as a proactive owner of deployed models, providing timely updates, insights, and improvements
- Make concrete technical management contributions towards gold‑standard data science capabilities
- Create a positive, supportive, and high‑performing team culture through people leadership and coaching
What You’ll Bring
- Degree‑level qualification in a highly analytical field (e.g., Data Science, Mathematics, Statistics, Economics, Quantitative Finance)
- Demonstrated experience applying data science across areas such as product optimisation, personalisation, collections, fraud, or broader business optimisation
- Strong end‑to‑end ownership of data science delivery, from problem definition to implementation
- A hands‑on background as a data scientist or modeler, with the ability to dive deep into technical detail when needed
- Practical experience with modern data science tools, open‑source technologies, version control, and collaborative development practices
- Proven track record of shaping data science roadmaps, generating ideas, and building strong partnerships
- Experience leading, and developing a team of data scientists or quantitative specialists
We’d love you to know (or be excited to learn)
- Experience with Agentic AI tools and practices (e.g., Claude Code, Kiro, Codex)
- Knowledge of advanced data science techniques such as deep learning or numerical optimisation
- Experience coordinating complex cross‑functional delivery, including close collaboration with MLOps teams
- A track record of championing data science in emerging or previously unsupported business areas
- Strong understanding of managing and evolving business‑critical, production data science solutions
At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive.
Senior Manager, Data Science employer: NewDay
At NewDay, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and innovation. As a Senior Manager in Data Science, you will not only lead impactful projects but also benefit from a supportive environment that encourages professional growth and collaboration. Our commitment to diversity and employee well-being ensures that every team member can thrive while contributing to meaningful advancements in customer credit solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Data Science
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in data science. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions to open-source tools. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on both technical skills and soft skills. Practice common data science scenarios and be ready to discuss how you’ve led projects from start to finish. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining us.
We think you need these skills to ace Senior Manager, Data Science
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Manager, Data Science. Highlight your experience with predictive modelling and data science tools, and don’t forget to showcase any leadership roles you've had in the past.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to NewDay’s mission. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Mention the modern data science tools and techniques you’ve used, especially if they align with what NewDay is looking for. This will show that you’re not just a leader but also hands-on when needed.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NewDay
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially predictive modelling techniques. Be ready to discuss specific projects you've worked on and how they drove value. This role is all about demonstrating your analytical excellence, so come prepared with examples that showcase your skills.
✨Understand the Business Impact
It's crucial to connect your technical expertise with business outcomes. Research NewDay's customer credit journey and think about how your work can enhance customer experiences and drive commercial impact. Be ready to share insights on how data science can solve real-world problems in their context.
✨Showcase Leadership Skills
As a Senior Manager, you'll need to lead a team of data scientists. Prepare to discuss your leadership style and how you've fostered a high-performing team culture in the past. Think of examples where you've coached team members or driven collaboration across functions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about NewDay's data science roadmap, their use of modern tools, and how they ensure compliance and governance in their models. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
