At a Glance
- Tasks: Lead a team of Data Scientists while building advanced machine learning models.
- Company: Join a leading global insights and analytics business driving innovation.
- Benefits: Up to £90,000 salary, hybrid working, 25 days holiday, and ongoing development.
- Other info: Dynamic role with excellent career growth in a collaborative environment.
- Why this job: Make a real impact on global brands with your data science expertise.
- Qualifications: Strong Python and machine learning skills, plus leadership experience.
The predicted salary is between 60000 - 80000 £ per year.
We're working with a leading global insights and analytics business that's investing heavily in the growth of its Data Science capability. They help some of the world's biggest consumer brands understand audience behaviour, marketing effectiveness and consumer trends through advanced analytics, machine learning and data science. They're now looking for a Data Science Manager to lead a team of four Data Scientists whilst remaining hands-on with the technology.
The Why?
- Lead whilst staying technical – Manage a team of Data Scientists without moving away from hands-on machine learning and modelling.
- Commercial impact – Build models that directly influence how global brands make marketing, advertising and consumer decisions.
The What?
Reporting into the Data Science Director, you'll lead a team of four Data Scientists within a wider 30-person Data Science function. The role is roughly 50% leadership and 50% hands-on, giving you the opportunity to mentor and develop your team whilst continuing to build sophisticated machine learning and predictive models. You'll work closely with stakeholders across the business, translating complex analytical challenges into practical commercial solutions.
Key Things You'll Be Doing
- Leading and developing a team of four Data Scientists
- Building Machine Learning and predictive models using Python and Azure Databricks
- Working with large-scale consumer, audience and marketing datasets
- Presenting analytical insights to senior stakeholders
- Driving best practice across modelling, experimentation and Data Science
- Working closely with Product, Technology and Commercial teams to solve complex business problems
What You'll Bring
- Strong experience with Python, Machine Learning and Azure Databricks
- Previous leadership or people management experience within a Data Science team
- A strong mathematical or statistical background
- Excellent stakeholder management and communication skills
- Experience within Market Research, Media Analytics, Audience Measurement, Consumer Insights or Marketing Science would be highly advantageous
The Benefits?
- Up to £90,000
- 5% Annual Bonus
- Hybrid working (2 days per week)
- 25 days holiday + bank holidays
- Pension
- Ongoing learning and development
- Opportunity to lead a high-performing Data Science team whilst remaining hands-on with modern Azure and Machine Learning technologies
Data Science Manager employer: FORT
FORT is an exceptional employer that prioritises employee well-being and professional growth, offering a hybrid work environment in Warrington. With generous benefits such as 25 days of holiday, bank holidays, and wellness support, FORT fosters a collaborative culture where innovation thrives, making it an ideal place for software engineers to advance their careers while enjoying a balanced lifestyle.
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 FORT!
✨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 FORT.
✨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 FORT.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager at FORT, 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 FORT, 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 FORT. 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 FORT
✨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 FORT!
✨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.
