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- Tasks: Analyse complex datasets to support evidence-based decision-making.
- Company: Join a government organisation making a real difference.
- Benefits: £600 per day, hybrid work, and flexible location options.
- Why this job: Use your data skills to create meaningful impact in the public sector.
- Qualifications: Experience with Python, SQL, and strong analytical skills required.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 40000 - 60000 £ per year.
£600 P/D Inside IR35
Hybrid, 2-3 days on site per week in London/Manchester or Bristol (Can be flexible)
6 month contract
We are supporting a government organisation looking for a skilled Data Scientist to join their team. This role is ideal for someone with a strong analytical background who is comfortable working with complex datasets and contributing to evidence-based decision-making.
What we are looking for:
- Solid data science background, ideally within a government or public-sector setting
- Hands-on experience with Python and SQL, including data cleaning, analysis, and working with/modifying existing Jupyter notebooks
- Strong ability to interpret data findings and produce clear, well-structured research reports
- Confidence providing assurance and guidance on analytical outputs
- Familiarity with NLP (Natural Language Processing)
- Proven track record of evaluating AI/ML systems or tools, including assessing model performance, developing or applying evaluation metrics, or conducting technical assessments (Desirable)
If you are passionate about using data to drive meaningful impact in the public sector, we would love to hear from you.
Data Scientist employer: TXP
Contact Detail:
TXP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Scientist gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. We want to see your analytical prowess in action, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of NLP. We recommend practising common data science interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over the competition.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science experience, especially in public-sector settings. We want to see how your skills with Python, SQL, and Jupyter notebooks shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for using data to make an impact and give examples of your analytical work.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving NLP or AI/ML systems, be sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at TXP
✨Know Your Data Science Fundamentals
Brush up on your data science principles, especially those relevant to the public sector. Be ready to discuss your experience with Python and SQL, as well as how you've tackled complex datasets in previous roles.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've interpreted data findings and produced research reports. Think about a time when your analysis led to a significant decision or change, and be ready to explain that process.
✨Familiarise Yourself with NLP and AI/ML
If you have experience with Natural Language Processing or evaluating AI/ML systems, make sure to highlight it. Be prepared to discuss any tools or metrics you've used to assess model performance, as this could set you apart from other candidates.
✨Practice Clear Communication
Since you'll need to provide assurance and guidance on analytical outputs, practice explaining complex concepts in simple terms. This will demonstrate your ability to communicate effectively with non-technical stakeholders.
