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- Tasks: Lead AI/ML projects and create innovative data products in a hybrid work setting.
- Company: Top recruitment agency known for its dynamic and supportive culture.
- Benefits: Attractive day rate of £510, flexible working, and opportunities for professional growth.
- Why this job: Join a leading agency and make impactful decisions using cutting-edge AI technology.
- Qualifications: 3+ years in data science, strong Python and SQL skills, and project leadership experience.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency is looking for a Senior Data Scientist to drive data-driven decision making in Coventry, UK. The role involves designing and building data products using AI and machine learning in a hybrid work environment.
Candidates should have a strong STEM background with over 3 years of experience, expert skills in Python and SQL, and familiarity with Microsoft Azure.
This position offers a day rate of £510 and requires stakeholder engagement and project leadership skills.
Senior Data Scientist — AI/ML Lead (Hybrid, UK) in Coventry employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — AI/ML Lead (Hybrid, UK) in Coventry
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML space on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Senior Data Scientist role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your data products and projects. We recommend using GitHub to display your Python and SQL expertise, as it gives potential employers a clear view of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder engagement and project leadership skills. We suggest practising common interview questions and scenarios related to AI/ML to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips or guidance.
We think you need these skills to ace Senior Data Scientist — AI/ML Lead (Hybrid, UK) in Coventry
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, SQL, and any experience with Microsoft Azure. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience in AI and machine learning projects, as well as any leadership roles you've taken on. This helps us see you as a perfect fit!
Engage with Us: Don’t forget to showcase your stakeholder engagement skills. Share examples of how you've successfully led projects and collaborated with others. We love to see teamwork in action!
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!
How to prepare for a job interview at Stott and May
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your AI/ML Projects
Prepare to talk about your experience with AI and machine learning. Have a couple of standout projects in mind that demonstrate your ability to design and build data products. Highlight your role in these projects and the impact they had on decision-making.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, think of examples where you've successfully collaborated with different teams or clients. Be ready to explain how you communicated complex data insights to non-technical stakeholders.
✨Familiarity with Azure is a Plus
If you have experience with Microsoft Azure, make sure to mention it! Discuss any specific tools or services you've used and how they contributed to your projects. If you're not familiar, do a bit of research to show your willingness to learn.