At a Glance
- Tasks: Lead data science and analytics, guiding teams to create impactful machine learning models.
- Company: High-profile e-commerce organisation with a focus on innovation.
- Benefits: Competitive salary, excellent benefits, and hybrid working model.
- Other info: Opportunity for career growth and hands-on technical involvement.
- Why this job: Make a real impact by bridging strategy and technical execution in a dynamic environment.
- Qualifications: Experience in data science, strong programming skills, and leadership capabilities.
The predicted salary is between 65000 - 70000 £ per year.
Location: Hereford (Hybrid 3 days per week)
Employment Type: Permanent
Status: Actively Hiring
Salary: £65,000-£70,000 + Excellent Benefits
WRK digital are proud to be partnering exclusively with a high-profile e-commerce organisation who are currently shortlisting for a Data Science Manager to join them on a permanent basis.
As the Data Science Manager, you will bridge the gap between strategic vision and technical execution across two core disciplines. You will guide the overarching direction of both data science and analytics, ensuring alignment with business goals through a well-defined and dynamic roadmap. By acting as a hands-on technical leader, you will empower your Senior Data Scientist to build robust machine learning models, and your Senior Data Analyst to scale impactful reporting processes.
Role Requirements:
- Strategic Direction & Roadmap: Define, build, and own the combined data science and analytics roadmap, ensuring projects across both workstreams align with broader company objectives and drive measurable value.
- Dual-Workstream Leadership: Directly manage, mentor, and provide strategic guidance to the Senior Data Scientist and Senior Data Analyst, ensuring best practices are maintained across both predictive modeling and business intelligence.
- Hands-on Technical Support: Actively participate in the technical work. Provide direct support in developing machine learning models, building complex analytical pipelines, and structuring advanced reporting frameworks.
- Resource & Capacity Management: Oversee workload and project allocation across the two streams. Regularly report on team resources, track project velocity, and ensure efficient deployment of your senior reports and their subsequent teams.
Key Criteria:
- A practical background in both the data science and advanced analytics spaces, where you have demonstrated the ability to deploy predictive models and generate actionable business insights.
- Strategic Leadership: Proven experience defining data roadmaps, managing team capacity, and guiding the overarching direction of technical teams.
- Technical Proficiency: Strong programming skills (e.g., Python, R) and advanced SQL, with the ability to provide hands-on support in machine learning, statistical modeling, and querying large-scale datasets.
- Platform Experience: Experience utilizing end-to-end data science and machine learning platforms to scale operations; specific experience with Dataiku (or similar platforms) would be highly advantageous.
- Communication & Translation: Outstanding written, verbal, and presentation skills, specifically the ability to translate complex data science concepts and model outputs into clear, strategic takeaways for non-technical senior leadership.
- Operational Excellence: Excellent organizational, problem-solving, project management, and resource allocation skills. The ability to balance strategic, long-term planning with hands-on technical delivery, remaining flexible to adapt to changing business demands and deadlines.
For a confidential conversation about the role, please DM, comment below, or apply via the job ad in the comments for immediate consideration. Unfortunately, this role does not offer sponsorship at this time.
Data Science Manager in London employer: WRK DIGITAL LTD
As a Tech Manager in our dynamic Yorkshire office, you'll be part of a forward-thinking team that values collaboration and innovation. We offer a flexible hybrid working environment, a comprehensive benefits package including private medical insurance and a generous pension scheme, and ample opportunities for career growth through ongoing learning and leadership exposure. Join us to make a meaningful impact on our release and deployment strategies while enjoying a supportive work culture that prioritises employee wellbeing and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Science Manager 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!
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Craft a Tailored Cover Letter:For a full-time role at WRK DIGITAL LTD, 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 WRK DIGITAL LTD. 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 WRK DIGITAL LTD
✨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
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✨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.
