At a Glance
- Tasks: Lead a dynamic team in data science and modelling to drive innovative solutions.
- Company: Join Frazer-Nash, a forward-thinking consultancy with a supportive culture.
- Benefits: Enjoy a competitive salary, flexible working, and extensive professional development opportunities.
- Other info: Embrace a collaborative environment with excellent career growth potential.
- Why this job: Make a real impact in a growing field while inspiring your team.
- Qualifications: Proven leadership skills and a passion for data science and decision-making.
The predicted salary is between 70000 - 90000 £ per year.
Salary: £70,000 - £90,000 per annum
Location: Manchester
Working Pattern: We operate a flexible hybrid working pattern at Frazer-Nash
Closing Date: 10th August 2026
We encourage early applications, as vacancies may close once we receive sufficient applications.
INTEREST
Our Manchester-based Data Science and Modelling teams have grown considerably, and we are now seeking to establish a third group to broaden our client base, expand our capabilities and enable further growth. The new group will complement the significant support already provided across both MFBUs and will help develop Frazer-Nash’s insight, modelling, forecasting and decision-support capabilities across our full range of markets.
Working closely with the other Data Science and Modelling Group Leaders, the selected candidate will develop and deliver a clear plan for the group’s services, clients and people. They will bring relevant technical and leadership experience, effective communication skills and a collaborative approach to working across the wider Data Science and Modelling area and the business as a whole.
As Group Leader, you will provide technical direction, pastoral leadership and portfolio management in line with Frazer-Nash’s values and business objectives. You will own the group’s development plan and hold delegated responsibility for delivering its performance targets.
REQUIREMENTS
The successful applicant will meet the following minimum requirements:
- Demonstrate the Frazer Nash Core and Group Leader Capabilities
- Be able to articulate a plan for the future development of the group aligned to the Area and Company strategies
- Be interested in data science, modelling and decision methods and inspire the team to effectively exploit them.
- Be knowledgeable about the commercial and technical pathways to deploy these methods
It is to your advantage if you meet any or all the following additional requirements:
- Experience of managing people and teams
- Experience of developing strategic plans for growth
- Significant knowledge of portfolio area/Industry area
- Significant knowledge of business development
Due to the nature of the work that Frazer-Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.
BENEFITS
We provide our people with a comprehensive benefit and offering package that comprises:
- Competitive salary with yearly reviews
- 25 days holiday + the opportunity to buy 5 days.
- A company that has its heart in the right place and a welcoming work culture.
- Happy to talk flexible working
- Enhanced parental benefits
- Company pension scheme
- Targeted professional development
- Life assurance
- Private healthcare membership
- Bonus scheme linked into company performance
- Paid membership fees to a professional institution
- Support in attaining professional membership
- Cycle to work scheme
- Season rail ticket loan
- And further optional benefits you can tailor to your personal requirements
We are committed to fostering a working culture that brings out the very best in our people, regardless of their circumstances, identity or background. We want our people to be themselves, feel empowered to achieve their personal and professional goals, and know that we respect the unique value they bring to the company. In support of this, we encourage thoughtful behaviours and work to foster a collaborative working environment.
Group Leader - Data Science and Modelling in Manchester employer: Frazer-Nash Consultancy
Frazer-Nash Consultancy is an excellent employer, offering a dynamic work culture that prioritises employee well-being and professional growth. With a flexible hybrid working pattern and opportunities to engage in impactful projects within Defence Land Systems, employees can thrive in a supportive environment that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Group Leader - Data Science and Modelling in Manchester
✨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 Frazer-Nash Consultancy!
✨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 Group Leader - Data Science and Modelling at Frazer-Nash Consultancy.
✨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 Frazer-Nash Consultancy.
✨Apply Directly through Our Website
When you find a suitable opening like Group Leader - Data Science and Modelling at Frazer-Nash Consultancy, 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 Group Leader - Data Science and Modelling in Manchester
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 Frazer-Nash Consultancy, 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 Frazer-Nash Consultancy. 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 Frazer-Nash Consultancy
✨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 Frazer-Nash Consultancy!
✨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.
