At a Glance
- Tasks: Lead high-impact data science projects from start to finish, ensuring quality and compliance.
- Company: Join NewDay, a diverse and inclusive company that values innovation and collaboration.
- Benefits: Competitive salary, supportive culture, and opportunities for professional growth.
- Other info: Be part of a vibrant team that champions diversity and inclusion.
- Why this job: Shape the future of data science while making a real impact on customer understanding and risk management.
- Qualifications: Degree in a quantitative field and experience in data science delivery.
The predicted salary is between 60000 - 80000 £ per year.
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 analytically excellent, 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.
- 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.
NewDay values all types of diversity. We are 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 and do not 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.
Permanent
Senior Manager, Data Science in London employer: Job Search Place Limited
At NewDay, we pride ourselves on being an exceptional employer, particularly for our Senior Manager, Data Science role. Our commitment to fostering a diverse and inclusive work environment ensures that every team member can thrive and contribute their unique perspectives. With a strong focus on employee growth, we offer ample opportunities for professional development, alongside a supportive culture that encourages innovation and collaboration in the heart of a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Data Science in London
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We think you need these skills to ace Senior Manager, Data Science in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Job Search Place Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Job Search Place Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Job Search Place Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
