At a Glance
- Tasks: Build and validate statistical and machine learning models to improve public services.
- Company: Dynamic organisation focused on data-driven solutions in London.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Initial 3-month contract with opportunities for growth in a collaborative environment.
- Why this job: Make a real difference using data and AI to enhance public service outcomes.
- Qualifications: Experience in statistical modelling, data exploration, and clear communication skills.
The predicted salary is between 75000 - 75000 £ per year.
Salary: £? - ? per year
Requirements
- Hands‑on expertise building and validating statistical and machine learning models, including clustering, regression, and predictive analytics.
- Strong data exploration, feature engineering, and model evaluation skills.
- Working knowledge of data governance and responsible AI expectations, including privacy, bias awareness, and reproducibility.
- Ability to take problems from framing through to deployment‑ready outputs.
- Ability to communicate insights clearly to non‑technical stakeholders.
- Experience ideally within demand‑led public services, including predictive demand, prevention, and triage/segmentation.
Responsibilities
- Build statistical and machine learning models using advanced techniques such as clustering, regression, and predictive analytics.
- Explore data and engineer features to support effective model development.
- Validate models and prepare deployment‑ready outputs.
- Communicate insights clearly to non‑technical stakeholders.
- Apply data governance and responsible AI principles in our work.
- Use data and AI to improve outcomes and productivity.
Technologies
- AI Support
- Machine Learning
We are hiring a Data Scientist for a London‑based hybrid role, with three days per week in the office and additional attendance on demand for important meetings. This is an initial 3‑month contract with possible extension, offered inside IR35 at £375 per day. The role focuses on using data and AI to improve outcomes and productivity in a demand‑led public services context.
Data Scientist employer: Third Nexus Group Limited
Join a forward-thinking organisation that values innovation and collaboration, where as a Data Scientist in London, you will have the opportunity to make a tangible impact on public services through data and AI. Our hybrid work culture promotes flexibility while fostering a supportive environment for professional growth, ensuring you can develop your skills and advance your career. With a commitment to responsible AI and data governance, we empower our employees to drive meaningful change in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 Third Nexus Group Limited 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 Third Nexus Group Limited.
✨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 Third Nexus Group Limited.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Third Nexus Group Limited, 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 Third Nexus Group Limited, 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 Third Nexus Group Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at Third Nexus Group Limited
✨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 Third Nexus Group Limited.
✨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 Third Nexus Group Limited.
✨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 Third Nexus Group Limited.
