At a Glance
- Tasks: Transform complex data into actionable insights using AI and machine learning.
- Company: Leading fintech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a dynamic team and work with cutting-edge technologies.
- Why this job: Make a real impact by solving complex business problems with data.
- Qualifications: Experience in Data Science, strong Python and SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function. This is an opportunity to work with large-scale datasets, advanced analytics and emerging AI technologies to deliver meaningful business insights and measurable commercial value. You’ll play a key role in transforming complex data into actionable intelligence, supporting decision-making across areas including client analytics, operational efficiency, portfolio analysis and business performance. Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment.
Key Responsibilities
- Deliver end-to-end analytics solutions from data preparation through to insight generation
- Develop and maintain analytical models using Python, SQL and cloud-based data platforms
- Apply machine learning, AI and statistical techniques to business challenges
- Work with NLP, LLM and Generative AI technologies where appropriate
- Validate data, perform testing and ensure analytical output quality
- Monitor model performance and support ongoing optimisation and governance
- Contribute to MLOps practices including deployment, versioning and monitoring
- Translate technical findings into clear business recommendations
- Develop reusable analytical assets, datasets and reporting solutions
- Collaborate with stakeholders to identify and prioritise high-value analytical opportunities
Requirements
- Commercial experience within Data Science, Analytics or a related discipline
- Strong Python and SQL development skills
- Experience applying statistical, machine learning or AI techniques to real-world problems
- Experience working with structured datasets and analytical reporting solutions
- Understanding of model validation, testing and performance monitoring
- Strong analytical and problem-solving capabilities
- Ability to communicate technical concepts to non-technical stakeholders
- Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering or similar quantitative discipline
Desirable
- Experience with Microsoft Fabric or modern cloud-based data platforms
- Exposure to NLP, LLMs or Generative AI technologies
- Experience with MLOps practices and CI/CD pipelines
- Understanding of data governance and model governance frameworks
- Previous experience within financial services, fintech or regulated environments
- Leadership or mentoring experience
What’s on Offer
- Opportunity to work with advanced analytics, machine learning and AI technologies
- Hybrid working arrangement
- Exposure to large-scale datasets and business-critical projects
- Collaborative and highly skilled data environment
- Ongoing professional development and career progression opportunities
- Opportunity to influence strategic decision-making through data-driven insights
If you’re a Data Scientist who enjoys solving complex business problems through analytics, machine learning and AI, and you’re looking to join a growing data-driven organisation where your work will have genuine impact, apply now or get in touch for a confidential discussion.
Data Scienest employer: TyneStack Partners Ltd
Join a leading financial technology and investment business in Newcastle Upon Tyne, where you will thrive in a collaborative and innovative environment. With a strong focus on professional development, you'll have the opportunity to work with cutting-edge analytics and AI technologies while contributing to impactful projects that drive strategic decision-making. Enjoy a hybrid working arrangement and excellent benefits that support your career growth and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scienest
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. You never know who might have a lead on that perfect Data Scientist role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. Share it on platforms like GitHub or your personal website to impress potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice explaining your thought process clearly, as communication is key when dealing with non-technical stakeholders.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets noticed and shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Scienest
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your Python, SQL, and machine learning expertise, and don’t forget to mention any relevant projects or achievements!
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. Be sure to mention specific technologies like AI and NLP that you’ve worked with.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled real-world problems using data science techniques. We love seeing how you’ve turned complex data into actionable insights that made a difference!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at TyneStack Partners Ltd
✨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 applied machine learning or AI techniques, as this will show your practical experience and understanding of the tools.
✨Prepare for Real-World Scenarios
Think about how you would approach common business challenges using data science. Prepare to explain your thought process and the steps you would take to deliver actionable insights, as this will demonstrate your problem-solving capabilities.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. You might be asked to explain your findings to non-technical stakeholders, so being able to communicate effectively is key to showcasing your analytical skills.
✨Show Enthusiasm for Collaboration
Highlight your experience working with cross-functional teams. Discuss how you've collaborated with data engineers, analysts, or business stakeholders in the past, as this will show that you're a team player who values input from others.
