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- Tasks: Design and develop robust data processing systems for analytics and machine learning.
- Company: Join a major public sector programme with a focus on data science.
- Benefits: Enjoy a competitive salary, private healthcare, and 25 days annual leave.
- Why this job: Make a real impact in the public sector while working with cutting-edge technology.
- Qualifications: Strong interest in data science, experience in Java, Python or TypeScript, and DV clearance.
- Other info: Hybrid working with opportunities for long-term development in a dynamic environment.
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
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: Jefferson Frank
Contact Detail:
Jefferson Frank 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 industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data processing projects, especially those involving Java, Python, or TypeScript. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
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 processing and software engineering. We want to see how your skills in Java, Python, or TypeScript align with the role, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data science and machine learning, and how your background makes you a perfect fit for our team.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Jefferson Frank
✨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. They’ll want to see your passion for data, so don’t hold back!
✨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 face some coding challenges 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 Like a Pro
Collaboration is key in this role, so practice explaining complex technical concepts in simple terms. You’ll need to work closely with both technical and non-technical stakeholders, so showcasing your communication skills will definitely give you an edge.