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- Tasks: Use Python to build predictive models and conduct statistical analysis.
- Company: Join a fast-growing digital consultancy making waves in the UK Defence sector.
- Benefits: Enjoy hybrid working, private healthcare, and the chance to work on impactful projects.
- Why this job: Be part of a dynamic team, tackling real-world challenges with data-driven strategies.
- Qualifications: Strong Python skills and experience in data science solutions are essential.
- Other info: 1-stage interview via Microsoft Teams for a quick and efficient hiring process.
The predicted salary is between 40000 - 66000 £ per year.
Hiring Now: Data Scientist | £50–55K | Hybrid (Bristol + South England) | Scale-Up Digital Consultancy
I’m currently supporting a fast-growing, 100+ employee digital transformation consultancy who are hiring a Data Scientist to join their team. They’re established in the UK Defence sector and are now expanding into other industries.
This is a hybrid role combining remote work, collaboration in their central Bristol office, and expensed client site visits across South England. You can expect to be in the office or on-site around 1–2 days per week.
- Use Python (including libraries like Pandas, Scikit-learn, etc.) to build and deploy predictive models and ML algorithms
- Develop pre-processing pipelines to clean, transform, and prepare data for modelling
- Conduct statistical analysis and hypothesis testing to validate assumptions
- Translate business problems into robust, data-driven strategies
- Collaborate within agile delivery teams and support continuous improvement
Eligibility for UK Security Clearance (SC) is essential.
- Strong Python skills with hands-on experience using libraries like Pandas, Scikit-learn, and NumPy
- Solid understanding of statistics, data modelling, and machine learning techniques
- Experience delivering data science solutions in a business or client-facing environment
- Familiarity with tools such as Power BI, Excel, and the wider Microsoft suite
Hybrid working - typically 1–2 days in Bristol or on-site.
Private healthcare.
Work on real-world, high-impact projects that matter.
A 1-stage, 1-hour interview over Microsoft Teams - clear, focused, and efficient.
Data Scientist, Python, Machine Learning, Remote employer: F5 Consultants
Contact Detail:
F5 Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Python, Machine Learning, Remote
✨Tip Number 1
Familiarise yourself with the specific Python libraries mentioned in the job description, such as Pandas and Scikit-learn. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Brush up on your statistical analysis and hypothesis testing skills. Being able to discuss real-world applications of these concepts during your interview will demonstrate your expertise and understanding of data-driven strategies.
✨Tip Number 3
Prepare to discuss your experience in a client-facing environment. Think of examples where you translated complex data insights into actionable business strategies, as this will be crucial for the role.
✨Tip Number 4
Since the role involves hybrid working, be ready to talk about your experience collaborating in agile teams. Highlight any tools or methodologies you've used that align with their collaborative approach.
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and data science. Include specific projects or roles where you've used libraries like Pandas and Scikit-learn, as well as any relevant statistical analysis work.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in this role and how your skills align with the company's needs. Mention your familiarity with agile teams and your ability to translate business problems into data-driven strategies.
Showcase Relevant Experience: When detailing your work experience, focus on your achievements in data science, particularly in client-facing environments. Highlight any projects that involved predictive modelling or data transformation, as these are key aspects of the role.
Prepare for the Interview: Since the interview will be conducted over Microsoft Teams, ensure you have a quiet space and a stable internet connection. Be ready to discuss your technical skills and provide examples of how you've applied them in real-world scenarios.
How to prepare for a job interview at F5 Consultants
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python and relevant libraries like Pandas and Scikit-learn. Be prepared to discuss specific projects where you've used these tools to build predictive models or conduct data analysis.
✨Understand the Business Context
Demonstrate your ability to translate business problems into data-driven strategies. Research the company’s focus areas, especially their expansion beyond the UK Defence sector, and think about how your skills can contribute to their goals.
✨Prepare for Technical Questions
Expect questions on statistical analysis, hypothesis testing, and machine learning techniques. Brush up on these topics and be ready to explain your thought process and methodologies clearly.
✨Familiarise Yourself with Agile Methodologies
Since the role involves collaboration within agile delivery teams, it’s beneficial to understand agile principles. Be ready to discuss your experience working in such environments and how you contribute to continuous improvement.
