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- Tasks: Lead data science projects using machine learning and AI to drive impactful insights.
- Company: Join the UK's largest public procurement organisation, making a difference in public services.
- Benefits: Enjoy a competitive salary, generous pension, remote work options, and flexi-time.
- Why this job: Shape the future of data science while collaborating with diverse teams on innovative projects.
- Qualifications: Degree in data science or related field, with strong coding skills in Python or R.
- Other info: Minimum 25 days annual leave and excellent career development opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A degree in data science OR a quantitative subject with professional training and experience in data science.
Can demonstrate an in-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, with detailed knowledge of at least one specialism.
Significant experience with Large Language Models (LLMs) and other Generative AI models, including understanding their capabilities, limitations, and practical application.
Significant experience delivering data science projects as part of a team and experience of shaping and leading analytical projects.
Substantial ability and experience of coding in Python and/or R.
Proven experience collaborating effectively as part of broader multi-disciplinary teams, including working with delivery partners, internal colleagues, and cross-government teams.
Lead Data Scientist in Liverpool employer: Crown Commercial Service
Contact Detail:
Crown Commercial Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a Lead Data Scientist role or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and LLMs. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, R, and collaborative projects. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Scientist in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your degree in data science or a related field, along with any professional training you've had. We want to see your understanding of data science techniques like machine learning and natural language processing, so don’t hold back!
Experience Matters: When detailing your experience, focus on your work with Large Language Models and Generative AI. Share specific projects where you’ve applied these skills, as this will really catch our eye and show us what you can bring to the team.
Team Player Vibes: We love collaboration! Make sure to mention your experience working in multi-disciplinary teams. Highlight how you’ve successfully partnered with others, whether they’re delivery partners or internal colleagues, to deliver impactful data science projects.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling. We can’t wait to see what you’ve got!
How to prepare for a job interview at Crown Commercial Service
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially machine learning and natural language processing. Be ready to discuss your specialism in detail and how you've applied these techniques in real-world projects.
✨Show Off Your LLM Experience
Since the role requires significant experience with Large Language Models and Generative AI, prepare examples of projects where you've used these technologies. Highlight their capabilities and limitations, and how you’ve navigated them in your work.
✨Team Player Vibes
Collaboration is key! Think of instances where you've worked with multi-disciplinary teams. Be ready to share how you contributed to shaping and leading analytical projects, and how you effectively communicated with delivery partners and colleagues.
✨Python and R Proficiency
As coding skills are crucial for this role, be prepared to discuss your experience with Python and/or R. You might even want to bring up specific libraries or frameworks you've used, and how they helped you solve complex data problems.