At a Glance
- Tasks: Lead a dynamic team to build AI models and deliver impactful data projects.
- Company: Join a global brand with a strong presence in the West Midlands.
- Benefits: Competitive salary, up to 30% bonus, and extensive benefits package.
- Other info: Hybrid role with opportunities for professional growth and innovation.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Proven leadership in Data Science and strong skills in Python and SQL.
£80,000 - £90,000 + up to 30% bonus + extensive benefits
Full Time / Permanent
Hybrid / 1-2 days a week in West Midlands head office
The Role and Company:
I am looking for a driven and experienced Data Science Manager to join a large global brand headquartered in the West Midlands. As the Data Science Manager, you will lead a high performing team while remaining hands-on to deliver projects, build AI models, code and transform data into clear and actionable insights. This will be a hybrid role, requiring 1-2 days a week in the West Midlands head office.
Key Responsibilities:
- Lead a team of driven Data Scientists, enabling them to develop while continuing to drive high impact work across the organisation.
- Build advanced analytics and AI solutions using machine learning, statistical modelling, forecasting, and simulation techniques to solve complex, real world challenges.
- Maximise the use of data by bringing together information from multiple sources and formats, creating robust datasets to inspire innovation.
- Drive and deliver projects that span the entire business alongside global teams.
Experience required:
- Proven experience in a Data Science leadership position with a strong track record of leading and developing a team of Data Scientists.
- Must possess strong communication and stakeholder engagement skills and be confident working with senior leaders, end users and colleagues alike.
- Must have the ability to translate complex technical concepts into clear business insights and recommendations.
- Proven experience with varying Data Science techniques across statistics, machine learning, and GenAI coupled with strong programming skills in Python and SQL are essential.
- Any experience working within highly regulated environments is preferred but not essential.
Please apply via the link or contact for more information.
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 Akkodis!
✨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 Akkodis.
✨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 Akkodis.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager at Akkodis, 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 Akkodis, 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 Akkodis. 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 Akkodis
✨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 Akkodis!
✨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.
