At a Glance
- 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.
- Other info: Hybrid working model with opportunities for collaboration in a skilled team.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge data technologies.
- Qualifications: Strong interest in data science, software engineering skills, and 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
- 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
Data Science Engineer employer: Jefferson Frank
Join a leading public sector programme as a Data Science Engineer, where you'll thrive in a dynamic and collaborative environment in either London or Manchester. With a strong focus on employee growth, we offer a comprehensive benefits package including a 9% non-contributory pension, private healthcare, and generous annual leave, ensuring you have the support needed to excel in your role while contributing to impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, 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 data processing projects, machine learning models, or any relevant work. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data science and software engineering. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and software engineering. We want to see how your skills in Java, Python, or TypeScript align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data processing systems or machine learning projects, make sure to mention them! We’re keen to see real examples of your work that demonstrate your skills and creativity.
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 – just a few clicks and you’re done!
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. 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 on the spot, so practice some common algorithms and data structures beforehand.
✨Understand Cloud Platforms
Familiarise yourself with the cloud platforms mentioned in the job description. Be ready to discuss how you've used these environments in past projects, especially in relation to building scalable data processing services. This will demonstrate your hands-on experience and technical know-how.
✨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 interview. Good communication skills can set you apart from other candidates!
