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- Tasks: Join a dynamic team to design and implement machine learning features that drive business success.
- Company: Be part of a transformative company with a strong technical presence across Europe.
- Benefits: Enjoy a hybrid work model and opportunities for hands-on learning and development.
- Why this job: Work on exciting projects, collaborate with experts, and make a real impact in the tech world.
- Qualifications: Strong Python/SQL skills, knowledge of AI/ML, and experience building impactful machine learning models required.
- Other info: Must be based in the North-West; no visa sponsorship needed.
The predicted salary is between 42000 - 65000 £ per year.
A transformative company with a technical team of 45+ spread throughout Europe is now looking for an additional mid-level Data Scientist to join their Manchester cohort. Having embraced Data Science as early adopters, the team has allowed it to permeate the business and business decisions. Now, they’re once again stepping up their game to ensure their platforms are seamless, and their customers’ journey – unparalleled.
The Data Scientist will report directly to the senior scientist, providing ample opportunities for continued and hands-on learning and development within the role. You’ll be working on some core Machine Learning aspects such as:
- Designing and implementing features to drive business outcomes.
- Optimization, scaling, and pruning of existing models to boost efficiency.
- Working with the senior to perform A-B testing, ensuring models are fit-for-purpose and running smoothly.
- Collaborating with a broader team of data engineers, data scientists, architects, a PO, and more to ensure products are future-proofed, you’re up-to-date with new advancements in the area, and that actionable takeaways are actioned.
To succeed, you’ll need to possess:
- Strong Python/SQL skills + a cloud (ideally AWS but Azure/GCP also fine).
- Strong knowledge of AI/ML, statistics, and coding using open-source libraries and frameworks.
- Strong experience building machine learning models that can influence business decision making.
- Be based in the North-West, this is a hybrid role!
If you're based in the North-West without need of visa sponsorship now or in the future please reach out!
Data Scientist – Manchester - £50,000 – £65,000 employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Manchester - £50,000 – £65,000
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning and Data Science. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the Data Science community, especially those based in the North-West. Attend local meetups, webinars, or conferences to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving Python, SQL, and cloud technologies. Be ready to explain how your work has influenced business decisions, as this aligns closely with the role's requirements.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked with cross-functional teams. The role involves working with data engineers and product owners, so demonstrating your ability to communicate and collaborate effectively will set you apart.
We think you need these skills to ace Data Scientist – Manchester - £50,000 – £65,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Data Science, particularly your skills in Python, SQL, and machine learning. Use specific examples of projects you've worked on that demonstrate your ability to drive business outcomes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with AI/ML and cloud technologies. Be sure to convey your eagerness to learn and collaborate with the team.
Showcase Your Projects: If you have any relevant projects or case studies, consider including links or descriptions in your application. This could be GitHub repositories or personal projects that demonstrate your skills in building machine learning models and optimising them.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at NearTech Search
✨Showcase Your Technical Skills
Make sure to highlight your strong Python and SQL skills during the interview. Be prepared to discuss specific projects where you've used these languages, especially in relation to machine learning models and data analysis.
✨Demonstrate Your Knowledge of AI/ML
Since the role involves core machine learning aspects, brush up on your understanding of AI and ML concepts. Be ready to explain how you've applied these in previous roles, particularly in designing and implementing features that drive business outcomes.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've worked effectively with cross-functional teams. Discuss how you’ve collaborated with data engineers or product owners to ensure successful project outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data science and their future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
