At a Glance
- Tasks: Design and deploy scalable ML applications in secure sectors.
- Company: Innovative tech firm based in Waterloo, London with a hybrid work model.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on cutting-edge technology.
- Why this job: Join a high-impact role at the intersection of machine learning and software engineering.
- Qualifications: Active SC Clearance and strong skills in Python, JavaScript, and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
We are currently seeking an SC Cleared Data Scientist/Senior Data Scientist/Solution Engineer for an initial 12-month contract based in Waterloo, London (Hybrid working pattern). This is a high-impact role sitting at the perfect intersection of advanced machine learning and robust software engineering. You will be responsible for designing, building, and deploying scalable industrial-grade ML applications (such as fraud detection and predictive maintenance) within highly secure, regulated sectors.
Key Responsibilities
- Algorithm Design: Design and deploy scalable Machine Learning algorithms tailored for industrial applications.
- Full-Stack Data Engineering: Analyse, cleanse, and normalise complex time-series data and dynamical systems.
- Production Deployment: Integrate and deploy software/models into leading cloud environments using modern JavaScript frameworks.
- Agile Collaboration: Work within an Agile methodology, ensuring high proficiency in data structures and algorithm design.
Technical Requirements & Skills
To succeed in this role, you must hold active SC Clearance and possess a blend of the following engineering and data science capabilities:
- Core Programming: Strong software development experience across Python, JavaScript, and Java.
- Frontend Frameworks: Hands-on experience with modern JS frameworks (React, Redux, Vue, Angular, or Backbone).
- Cloud Platforms: Proven track record of deploying software to at least one primary cloud provider (AWS, GCP, or Azure).
- Data & Streaming: Deep understanding of SQL/NoSQL databases, alongside scalable ML frameworks (MapReduce, data streaming).
- Methodologies: Solid proficiency with Git version control and Agile software development delivery.
- Domain Exposure: Prior experience or domain expertise in secure/industrial sectors (e.g., Aerospace, Financial Services, Gov/Public Sector, Defence, Power & Utilities, or Supply Chain).
- Portfolio: A demonstrable portfolio of projects (GitHub, technical papers, etc.) is highly advantageous.
Key Skills: SC Clearance, Python, JavaScript, Java, Time Series, Machine Learning, AWS/GCP/Azure
Please Note: Active UK SC (Security Clearance) is mandatory for this position due to the secure nature of the industrial environments and data systems involved.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Scientist/Senior Data Scientist/Solution Engineer - 12 Month Contract in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Simon James I.T. Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Simon James I.T. Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Simon James I.T. Ltd.
We think you need these skills to ace SC Cleared Data Scientist/Senior Data Scientist/Solution Engineer - 12 Month Contract in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Simon James I.T. Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Simon James I.T. Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Simon James I.T. Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Simon James I.T. Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Simon James I.T. Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Simon James I.T. Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Simon James I.T. Ltd.
