At a Glance
- Tasks: Lead a dynamic data science team and deliver impactful AI projects.
- Company: Join a leading client in the tech industry with a hybrid work model.
- Benefits: Competitive salary, 30% bonus, and excellent benefits including remote work.
- Other info: Opportunity for career growth in a collaborative and innovative environment.
- Why this job: Combine leadership with hands-on coding to turn data into actionable insights.
- Qualifications: Experience in data science, strong programming skills in Python and SQL.
Salary: £90,000 - 90,000 per year
Requirements
- Demonstrable experience in data science.
- Proven ability to lead, mentor, and develop data scientists, guiding teams to deliver high‑quality, impactful work.
- Strong communication and stakeholder engagement skills, with the ability to work effectively with end users, peers, and senior leaders.
- Fluency in data science techniques across statistics, machine learning, and GenAI.
- Strong programming skills in Python and SQL, with the ability to build reliable, scalable solutions.
- Experience working in cloud environments on Linux and/or Windows platforms; Azure experience is a plus.
- A strong track record of delivering the full lifecycle of data science products and projects.
- Experience working within regulated utility environments.
- Experimental design experience and a hypothesis‑driven mindset.
- Familiarity with interactive visualisation tools; Power BI is a plus.
- Knowledge of GIS tools such as ArcGIS.
- Desirable: exposure to highly regulated sectors such as utilities, power, energy, electricity, water, gas, nuclear, financial services, or telecoms.
Responsibilities
- Lead a high‑performing data science team while staying hands‑on.
- Deliver impactful projects and build AI models.
- Write code and turn data into clear, actionable insights.
- Mentor and develop team members to support high‑quality delivery.
- Work closely with end users, peers, and senior leaders to communicate insights and solutions.
- Support the full lifecycle delivery of data science products and projects.
- Apply statistical, machine learning, and GenAI techniques to solve business problems.
- Produce data visualisations and support the use of interactive visualisation tools.
- Contribute to experimental design and hypothesis‑driven analysis.
Technologies
- AI
- Azure
- Cloud
- GIS
- Support
- Linux
- Machine Learning
- Power BI
- Python
- SQL
- Windows
We are one of our leading clients and are looking to recruit a Data Science Manager for a hybrid role based in Warwickshire with remote working, requiring one day per week in the Warwickshire office. This is a hands‑on leadership role where you will combine team management with technical delivery, building AI models, coding, and turning data into actionable insights. The salary is £78,000 to £91,000 with a 30% bonus and excellent benefits.
Data Science Manager employer: MYO Talent
Join a dynamic and supportive team as a Network Engineer / Infrastructure Administrator in Daventry, where you will thrive in a hybrid work environment that balances flexibility with collaboration. Our company prioritises employee growth through continuous training and development opportunities, alongside a competitive salary and comprehensive benefits package. Experience a culture that values innovation and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MYO Talent!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Manager at MYO Talent.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MYO Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager at MYO Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Manager
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 MYO Talent, 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 MYO Talent. 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 MYO Talent
✨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 MYO Talent!
✨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.
