At a Glance
- Tasks: Use your data science skills to analyse and interpret data for impactful public sector decisions.
- Company: Join a government support organisation making a difference in the UK.
- Benefits: Hybrid work model, competitive pay, and a chance to influence public policy.
- Why this job: Be part of a team that uses data to drive meaningful change in society.
- Qualifications: Solid background in data science, Python, SQL, and strong analytical skills.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A government support organisation in the UK seeks a skilled Data Scientist for a 6-month contract. The role involves hybrid work with 2-3 days on-site in London, Manchester, or Bristol.
Ideal candidates will have:
- a solid data science background,
- expertise in Python and SQL,
- strong interpretation skills for data findings.
This is a fantastic opportunity for those passionate about using data to drive impactful decisions in the public sector.
Public Sector Data Scientist — NLP, ML Evaluation (Hybrid) in London employer: TXP
Contact Detail:
TXP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Public Sector Data Scientist — NLP, ML Evaluation (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the public sector and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've used data to make impactful decisions. Practice common data science interview questions to boost your confidence.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in NLP and ML evaluation. This will give you an edge and demonstrate your practical skills to potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Don’t miss out on the chance to land that perfect role in the public sector!
We think you need these skills to ace Public Sector Data Scientist — NLP, ML Evaluation (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science skills, especially in Python and SQL. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about using data in the public sector and how your skills can make a difference. Keep it engaging and personal – we love to see your personality!
Showcase Your Interpretation Skills: Since strong interpretation skills are key for this role, include examples of how you've turned data findings into actionable insights. We want to know how you’ve made an impact through your analysis!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at TXP
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially in Python and SQL. Be ready to discuss how you've applied these skills in previous projects, as the interviewers will want to see your practical knowledge and problem-solving abilities.
✨Showcase Your NLP and ML Expertise
Prepare to talk about your experience with Natural Language Processing and Machine Learning. Have specific examples ready that demonstrate your ability to evaluate models and interpret results, as this is crucial for the role.
✨Understand the Public Sector Context
Familiarise yourself with the challenges and opportunities in the public sector. Being able to articulate how data can drive impactful decisions in this space will show your passion and commitment to the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the organisation's data initiatives and how they measure success. This not only shows your interest but also helps you gauge if the role aligns with your career goals.