At a Glance
- Tasks: Lead high-impact data science projects from start to finish, ensuring quality and compliance.
- Company: Join NewDay, a forward-thinking company that values diversity and innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a vibrant culture that embraces diversity and supports your career journey.
- Why this job: Make a real impact by shaping data-driven strategies and leading a talented team.
- Qualifications: Degree in a quantitative field and experience in data science delivery.
The predicted salary is between 70000 - 90000 ÂŁ per year.
locations: London
time type: Full time
posted on: Posted Today
time left to apply: End Date: May 29, 2026 (23 days left to apply)
job requisition id: JR0602
Why this role matters
As a senior leader in our Data Science team, youâll lead the delivery of highâimpact modelling projects endâtoâend â from early scoping with partner teams through to design, validation, governance, implementation, and ongoing performance monitoring. Youâll ensure our models are not only analytically excellent, but also robust, compliant, and productionâready. This role is central to how NewDay uses data to understand customers, manage risk, and innovate responsibly. Youâll set the bar for quality, shape the roadmap, and create an environment where data scientists can do their best work.
How youâll contribute
- Lead the full lifecycle of predictive modelling projects â scoping, planning, delivery, validation, signâoff, 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 highâperforming team culture through people leadership and coaching
What youâll bring
- Degreeâlevel 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 endâtoâend ownership of data science delivery, from problem definition to implementation
- A handsâon 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, openâsource 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
Weâd 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 crossâfunctional 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 businessâcritical, production data science solutions
At NewDay, we value all types of diversity. Weâre 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 donât 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: Weâll 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 Ltd
Contact Detail:
NewDay Ltd Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Manager, Data Science
â¨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
â¨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We want you to showcase your end-to-end ownership of data science delivery, so have examples at the ready!
â¨Tip Number 3
Donât forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Manager, Data Science
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Manager, Data Science role. Highlight your experience in predictive modelling and data science delivery. We want to see how your skills align with what weâre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre excited about this role and how you can contribute to our team. Be genuine and let your personality come through.
Showcase Your Technical Skills: Donât forget to mention your hands-on experience with data science tools and techniques. We love seeing candidates who can dive deep into technical details, so share specific examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss any important updates from our team!
How to prepare for a job interview at NewDay Ltd
â¨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around predictive modelling and the tools mentioned in the job description. Be ready to discuss your hands-on experience with modern data science tools and how you've applied them in real-world scenarios.
â¨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead and develop a team. Prepare examples of how you've created a positive team culture and coached others in their data science journeys. Highlight any successful projects where your leadership made a difference.
â¨Understand the Business Impact
Be prepared to discuss how your work in data science has driven business outcomes. Think about specific examples where your modelling projects have optimised products or improved customer understanding. This shows that you can connect technical work to broader business goals.
â¨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data science roadmap, team dynamics, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.