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- Tasks: Design and deploy data models, analyse complex datasets, and collaborate globally.
- Company: Global organisation at the forefront of data science and AI-driven decision-making.
- Benefits: Up to £50,000 salary, bonus, and hybrid working in Central Newcastle.
- Other info: Opportunity to work with Generative AI and advance your career in a dynamic environment.
- Why this job: Shape the future of finance with cutting-edge analytics and AI technologies.
- Qualifications: Proven experience in Data Science, with skills in data querying and analysis.
The predicted salary is between 36000 - 60000 £ per year.
Up to £50,000 + bonus
Hybrid Working in Central Newcastle
We’re hiring a Data Scientist for a global organisation operating at the intersection of data, analytics, and AI-driven decision-making. This is a highly influential role, sitting at the forefront of data science strategy and shaping how advanced analytics and AI are applied across complex, real-world problems in finance.
As Data Scientist, you will:
- Design, development, and deployment of models and algorithms into production
- Analyse large, complex datasets to identify patterns and trends, translating insights into actionable product recommendations
- Collaborate with global teams across product, engineering, and analytics to deliver high-quality, scalable solutions
- Establish and uphold best practices across data science methodologies, including data preparation, model validation, and performance monitoring
- Stay close to industry trends and emerging technologies, particularly in AI and GenAI
What we’re looking for:
- Strong, proven experience across Data Science, with exposure to Data Engineering and/or Machine Learning
- Ability to operate autonomously within a global, distributed organisation
- Solid experience selecting and applying appropriate methodologies, technologies, and techniques
- Hands-on experience with data querying, manipulation, and analysis, including tools such as Pandas and NumPy
Nice to have:
- Experience working with Generative AI tools and approaches
- Software engineering or programming experience, ideally in Python
- Advanced academic background in Computer Science, Data Science, or equivalent industry experience
Data Scientist - Newcastle - Asset Management in Newcastle upon Tyne employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Newcastle - Asset Management in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and analytics. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss your experience with tools like Pandas and NumPy, and how you've applied them in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that interview.
We think you need these skills to ace Data Scientist - Newcastle - Asset Management in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data science methodologies, tools like Pandas and NumPy, and any relevant projects that showcase your skills in AI and analytics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. Don’t forget to mention your experience with complex datasets and model deployment.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve collaboration across teams or innovative use of AI.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward, and we’ll be able to review your application more efficiently. Plus, it shows you’re keen on joining 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 fundamentals. Be ready to discuss your experience with data querying, manipulation, and analysis using tools like Pandas and NumPy. They’ll likely ask you to explain how you've applied these skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific projects where you designed and deployed models or algorithms. Highlight how you identified patterns in complex datasets and turned those insights into actionable recommendations. Real examples will make your answers stand out!
✨Collaboration is Key
Since this role involves working with global teams, be ready to discuss your experience collaborating across different functions. Share examples of how you’ve worked with product, engineering, and analytics teams to deliver scalable solutions. This shows you can thrive in a distributed organisation.
✨Stay Ahead of the Trends
Familiarise yourself with the latest trends in AI and Generative AI. Being able to discuss emerging technologies and how they can be applied in asset management will demonstrate your passion for the field and your commitment to staying current.