At a Glance
- Tasks: Design and develop robust data processing systems for analytics and machine learning.
- Company: Major public sector programme with a focus on data science.
- Benefits: Up to £80,000 salary, private healthcare, 25 days leave, and a non-contributory pension.
- Why this job: Join a dynamic team and work on impactful data-driven projects.
- Qualifications: Experience in Java, Python, or TypeScript; DV clearance required.
- Other info: Hybrid working with opportunities for long-term development.
The predicted salary is between 80000 - 80000 £ per year.
An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment.
What You'll Be Doing:
- Designing, building and maintaining scalable data processing and integration services
- Supporting Data Science and Machine Learning workloads through well-engineered software solutions
- Developing high-quality, testable code using modern engineering practices
- Working within secure cloud-hosted environments
- Collaborating closely with technical and non-technical stakeholders
What We're Looking For:
Essential:
- Strong interest in data, particularly Data Science and Machine Learning
- Solid software engineering background with experience in Java, Python or TypeScript
- Hands-on experience with cloud platforms
- DV Clearance in place
Location & Working Pattern:
Candidates must be aligned to either London or Manchester. Hybrid working. On-site attendance is required to meet client needs.
Benefits Package:
- 9% non-contributory pension
- Private healthcare
- 25 days annual leave
- Life insurance
- And more
If you're a DV-cleared engineer passionate about data-driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long-term development.
Data Science Engineer in Manchester employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, attend meetups, and connect with professionals 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 projects, especially those related to data processing and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice common interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Science Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science and machine learning. We want to see how your skills in Java, Python, or TypeScript can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data and any specific experiences that align with our needs. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data processing systems or machine learning projects, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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’s super easy!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your experience with data processing systems and how you've applied your skills in real-world scenarios. This is your chance to show off your passion for data!
✨Show Off Your Coding Skills
Since a solid software engineering background is essential, be prepared to talk about your experience with Java, Python, or TypeScript. You might even be asked to solve a coding problem during the interview, so practice writing clean, testable code beforehand.
✨Understand the Cloud
Familiarise yourself with cloud platforms, as this role involves working within secure cloud-hosted environments. Be ready to discuss any hands-on experience you have and how you've leveraged cloud technologies in your previous projects.
✨Communicate Effectively
Collaboration is key in this role, so practice explaining complex technical concepts in simple terms. Think about examples where you've worked closely with both technical and non-technical stakeholders, and be ready to share those experiences during the interview.