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- 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.
- Other info: Hybrid working with opportunities for long-term development.
- Why this job: Join a dynamic team and work on impactful data-driven projects.
- Qualifications: Experience in Java, Python, or TypeScript; DV Clearance required.
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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage 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 involving data processing and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your experience with Java, Python, or TypeScript. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Science Engineer in London
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!
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 relevant projects you've worked on that align with our needs.
Showcase Your Cloud Experience: Since we work within secure cloud-hosted environments, be sure to mention any hands-on experience you have with cloud platforms. This will help us see how you can hit the ground running!
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 this exciting opportunity!
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 get asked to solve a coding problem on the spot, so practice writing clean, testable code before the interview.
✨Understand Cloud Platforms
Familiarise yourself with the cloud platforms you've worked on. Be ready to explain how you've used them to support data science workloads. Highlight any specific projects where you’ve built or maintained scalable data processing services in a cloud environment.
✨Communicate Effectively
Collaboration is key in this role, so practice explaining complex technical concepts in simple terms. Think about how you can engage both technical and non-technical stakeholders during your past projects. Good communication can set you apart from other candidates!