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- Tasks: Develop predictive models and tackle complex engineering challenges with data.
- Company: Join a growing analytics team in an innovative environment.
- Benefits: Enjoy a competitive salary, structured training, and hybrid working.
- Why this job: Make an impact with cutting-edge analytics and work on exciting international projects.
- Qualifications: Experience in Python, SQL, and machine learning is essential.
- Other info: Great career growth opportunities in a dynamic team.
The predicted salary is between 36000 - 60000 £ per year.
Newcastle upon Tyne (Hybrid Working 3 days in office in Newcastle upon Tyne)
Full-Time | Permanent | 37.5 hours per week
My client is looking for a Data Scientist to join its growing Integrity Analytics team in Newcastle. The role focuses on developing software-driven analytical solutions that support complex engineering challenges.
Key responsibilities include:
- Developing and validating predictive machine learning models
- Designing and implementing ETL (Extract, Transform, Load) pipelines using Python and SQL
- Performing exploratory data analysis, visualisation, and interpretation
- Contributing to generative AI initiatives, including LLM fine-tuning, document content extraction, and text summarisation
- Presenting technical results and business impact clearly to clients
- Producing documentation and reporting outputs as required
Benefits:
- Competitive salary and benefits package
- Structured training and development opportunities
- Hybrid working model
- Exposure to international projects
- A growing and innovative analytics team
Data Scientist in Newcastle upon Tyne employer: True North Group
Contact Detail:
True North Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees in the Integrity Analytics team on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive machine learning models and any ETL pipelines you've designed. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable explaining complex data concepts in simple terms. We want to impress with our ability to communicate technical results clearly to clients.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist 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 machine learning models, ETL pipelines, and any relevant projects. We want to see how your skills align with what we're looking for!
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 you can contribute to our Integrity Analytics team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any other tools you've used. We love seeing examples of your work, so if you have a portfolio or GitHub, include that too!
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 the role. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at True North Group
✨Know Your Data
Make sure you brush up on your data science fundamentals, especially around predictive modelling and machine learning. Be ready to discuss your past projects and how you've used Python and SQL to solve real-world problems.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to perform exploratory data analysis. Bring examples of visualisations you've created and be ready to explain the insights you derived from them. This will show your potential employer that you can turn data into actionable insights.
✨Understand the Business Impact
It's crucial to articulate how your technical skills can benefit the business. Think about how your work in data science can support engineering challenges and contribute to generative AI initiatives. Be prepared to discuss this during the interview.
✨Practice Clear Communication
Since you'll need to present technical results to clients, practice explaining complex concepts in simple terms. This will help you stand out as someone who can bridge the gap between technical and non-technical stakeholders.