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- Tasks: Design and build machine learning models to enhance operational performance.
- Company: Join a forward-thinking public sector team in London or York.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Engage with stakeholders and work with complex datasets in a dynamic environment.
- Why this job: Make a real impact with innovative AI solutions in the public sector.
- Qualifications: Strong programming skills in Python or R and experience in machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Public Sector Resourcing is seeking a Senior Data Scientist (AI) for a 12-month hybrid contract in London or York. The successful candidate will design and build machine learning models to enhance operational performance and deliver innovative AI solutions.
Responsibilities include:
- Working with complex datasets
- Engaging with stakeholders
- Contributing to the development of AI-driven products
Ideal candidates should possess strong programming skills in Python or R and have proven experience in machine learning and predictive modelling. A degree in a STEM discipline is desirable.
Senior AI Data Scientist — Hybrid (London/York) employer: Public Sector Resourcing
Contact Detail:
Public Sector Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist — Hybrid (London/York)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science field on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with complex datasets and predictive modelling. Practise common interview questions and consider doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior AI Data Scientist — Hybrid (London/York)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python or R right from the get-go. We want to see how your experience with machine learning and predictive modelling can bring value to our team!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background aligns with the responsibilities mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Engage with Us: In your cover letter, let us know how you’ve engaged with stakeholders in the past. We’re keen on collaboration, so sharing examples of how you’ve worked with others will definitely catch our eye!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Public Sector Resourcing
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python or R. Be ready to discuss your previous projects involving machine learning and predictive modelling, as well as the specific algorithms you've used. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex datasets in the past. Think of specific examples where your innovative AI solutions made a difference. This will demonstrate your ability to enhance operational performance, which is key for the role.
✨Engage with Stakeholders
Since the role involves engaging with stakeholders, be ready to talk about your experience in this area. Highlight how you’ve communicated technical concepts to non-technical audiences and collaborated with different teams to drive projects forward.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends and advancements in AI and machine learning. Being able to discuss current developments shows your passion for the field and your commitment to continuous learning, which is crucial for a Senior Data Scientist.