At a Glance
- Tasks: Deliver impactful data science solutions and mentor junior team members.
- Company: Specialist digital consultancy focused on public sector improvements.
- Benefits: Flexible hybrid working, professional development, and supportive teams.
- Other info: Clear pathways for leadership growth and collaboration with diverse teams.
- Why this job: Make a real difference in public services while advancing your career.
- Qualifications: Strong Python skills and experience in complex data environments.
The predicted salary is between 50000 - 65000 £ per year.
This role sits within a specialist digital consultancy delivering data‑driven solutions across the UK public sector. You will work on high‑impact projects that improve public services, applying advanced analytical techniques while supporting and mentoring junior team members.
Key Requirements:
- Security Clearance eligibility (SC) is essential
- Hybrid working, typically 2–3 days per week on client site
- Strong Python skills, including experience with data analysis, modelling and automation
- Experience working within or alongside public‑sector organisations is highly desirable
What You’ll Do:
- Deliver end‑to‑end data science solutions across discovery, alpha, beta and live phases
- Build, test and deploy analytical models, statistical approaches and data pipelines
- Work with large, complex datasets to generate insights that inform policy and service design
- Collaborate with multidisciplinary teams including product managers, researchers and engineers
- Present findings to technical and non‑technical stakeholders
- Lead by example, providing guidance, coaching and mentoring to junior data scientists
- Ensure all work aligns with GDS standards, data governance and ethical guidelines
What You’ll Bring:
- Proven experience as a data scientist in complex or public‑sector environments
- Strong proficiency in Python and common data science libraries (Pandas, NumPy, Sci‑Kit Learn, etc.)
- Experience with data visualisation tools and techniques
- Ability to communicate complex concepts clearly and effectively
- Experience supporting or mentoring junior colleagues
- Full SC‑eligibility (UK residency for 5+ years, no restrictions)
What’s On Offer:
- Flexible hybrid working
- Opportunities to work on meaningful, high‑impact public‑sector services
- Supportive, multidisciplinary teams
- Clear pathways for professional development and leadership growth
Data Scientist employer: ANSON MCCADE
As a leading digital consultancy focused on delivering data-driven solutions for the UK public sector, we pride ourselves on fostering a collaborative and supportive work culture. Our Data Scientists enjoy flexible hybrid working arrangements, opportunities to engage in impactful projects that enhance public services, and clear pathways for professional development and leadership growth, all while being part of a multidisciplinary team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 ANSON MCCADE!
✨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 Scientist at ANSON MCCADE.
✨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 ANSON MCCADE.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at ANSON MCCADE, 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 Scientist
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 ANSON MCCADE, 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 ANSON MCCADE. 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 ANSON MCCADE
✨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 ANSON MCCADE!
✨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.
