At a Glance
- Tasks: Lead AI-driven projects and define data science strategies for impactful solutions.
- Company: Global organisation with a focus on innovation and technology.
- Benefits: Salary up to £70,000, bonuses, and hybrid working options.
- Why this job: Make a real impact in the world of data science and AI.
- Qualifications: Strong experience in data science, machine learning, and tools like Pandas and NumPy.
- Other info: Join a dynamic team and shape the future of data strategy.
The predicted salary is between 42000 - 84000 £ per year.
A global organisation is hiring a Senior Data Scientist in Newcastle upon Tyne. This role focuses on defining data science strategies and leading the deployment of AI-driven solutions.
Key qualifications include:
- Strong data science and machine learning experience
- Proficiency in data manipulation tools such as Pandas and NumPy
The position offers a salary up to £70,000 plus a bonus, with hybrid working options available. If you are ready to influence data strategy, apply now.
Senior Data Scientist - AI-driven Risk Platform (Hybrid) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AI-driven Risk Platform (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science expertise, especially with tools like Pandas and NumPy. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your machine learning concepts and problem-solving skills. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar faces from our community!
We think you need these skills to ace Senior Data Scientist - AI-driven Risk Platform (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science and machine learning. We want to see how you've used tools like Pandas and NumPy in your previous roles, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI-driven solutions and how you can influence our data strategy. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool projects or have case studies that demonstrate your skills, include them! We love seeing real-world applications of your expertise in data science.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your experience with tools like Pandas and NumPy, and think of specific projects where you've successfully applied these skills.
✨Showcase Your AI Solutions
Prepare to talk about any AI-driven solutions you've developed or contributed to. Highlight the impact these solutions had on previous projects, and be ready to explain your thought process in deploying them.
✨Understand the Company’s Data Strategy
Research the organisation's current data strategies and AI initiatives. This will help you align your answers with their goals and demonstrate that you're genuinely interested in how you can contribute to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about their future data science projects or how they measure the success of their AI solutions. This shows your enthusiasm and helps you gauge if the role is a good fit for you.