At a Glance
- Tasks: Shape products and solve real problems using data science expertise.
- Company: Fast-growing tech company focused on impactful data science.
- Benefits: Competitive salary, fully remote work, and great learning opportunities.
- Other info: Collaborate with experienced professionals and work with cutting-edge technology.
- Why this job: Make a real impact with hands-on data science in a dynamic environment.
- Qualifications: Master’s or PhD in a quantitative field; strong Python or R skills.
The predicted salary is between 85000 - 85000 € per year.
Want your models to ship, your ideas to shape products, and your work to solve real, high impact problems? If you’re craving a role where your data science expertise genuinely changes how products are built and decisions are made… this is it.
We’re partnered with a fast‑growing technology company that applies cutting edge data science to large scale, highly complex real world environments. This isn’t a role where your work gathers dust in a slide deck, this is hands on, production focused data science at the heart of the organisation’s core technology.
You’ll work across the full data science lifecycle; shaping problems, exploring data, experimenting with models, and deploying real solutions that drive real outcomes.
- Building and deploying machine learning models used directly in live products
- Working hands-on with large, messy, real-world datasets and time series data
- Designing and maintaining clean, scalable Python data pipelines
- Strong skills in Python or R
- Experience with ML frameworks such as Scikit‑learn, TensorFlow, PyTorch
- A solid understanding of machine learning, statistics, and modelling best practice
- Competence with SQL and real‑world, imperfect data
- Experience or interest in time series analysis and forecasting
- Git, Docker, CI/CD, data pipelines
- A mindset built around ownership, robustness, and production‑quality output
Master’s or PhD in a quantitative field such as: Data Science, Physics, Mathematics, Engineering, Computer Science, or similar.
Competitive salary up to £85,000 + great benefits
- Fully remote working anywhere in the UK
- Learn from and collaborate with a highly experienced Lead Data Scientist and top tier engineers
- A modern technology stack and engineering culture designed for quality, velocity, and clarity
Marketing Data Scientist in Newcastle upon Tyne employer: HireQ Talent
Join a dynamic and innovative technology company that values your expertise as a Marketing Data Scientist, where your contributions directly influence product development and decision-making. Enjoy the flexibility of fully remote work across the UK, alongside a collaborative culture that fosters learning and growth with experienced professionals. With competitive salaries and a commitment to quality and clarity in engineering practices, this is an exceptional opportunity for those seeking meaningful and impactful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning models. This will give potential employers a taste of what you can do and how you approach real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how your experience with Python, SQL, and ML frameworks can directly impact their projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Marketing Data Scientist in Newcastle upon Tyne
Some tips for your application 🫡
Show Your Passion for Data Science:Let us see your enthusiasm for data science in your application! Share specific examples of how you've used your skills to solve real-world problems, and don't shy away from showcasing any projects that highlight your expertise.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the role. Highlight relevant experience with Python, machine learning frameworks, and any hands-on projects you've worked on. We want to see how your background aligns with our needs!
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of all applications. Plus, you’ll be one step closer to joining our awesome team!
How to prepare for a job interview at HireQ Talent
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with Python, R, and machine learning frameworks like Scikit-learn or TensorFlow. Prepare to explain how you've tackled real-world problems using these tools.
✨Showcase Your Projects
Bring examples of your past work to the interview. Whether it's a model you built or a data pipeline you designed, be prepared to walk through your thought process and the impact your work had. This will show your hands-on experience and problem-solving skills.
✨Understand the Company’s Needs
Research the company and its products before the interview. Understand how they apply data science in their operations and think about how your skills can contribute to their goals. Tailoring your answers to align with their mission will make you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their data challenges, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
