At a Glance
- Tasks: Lead the development of AI and Machine Learning solutions to solve complex business challenges.
- Company: Global recruitment specialist with a focus on innovative analytics.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on collaboration and transformation.
- Why this job: Make a real impact by using data to improve services for citizens.
- Qualifications: Experience in data science and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Duration: 4 Months+
Clarance: Active SC
Location: Hybrid - Remote / Newcastle Ad-Hoc
Job Description:
Background
As a Senior Data Scientist, you will be part of a multidisciplinary analytics team that works across Service Delivery, Digital and Transformation to deliver insight, advanced analytics, Machine Learning and Artificial Intelligence solutions. The team partners with stakeholders to understand complex business challenges, identify opportunities where data can add value, and support evidence-based decision-making.
The Client’s Team uses enterprise data and a range of analytical and data science techniques to improve services for citizens and colleagues. Through exploration of complex datasets, development of innovative analytical products and clear communication of insights, the team helps drive service improvements, support transformation and deliver measurable outcomes at scale.
Key tasks:
- Working within a multidisciplinary analytics team, you will lead the development of advanced analytics, Machine Learning and Artificial Intelligence solutions to support decision-making across Later Life Services.
- You will work closely with stakeholders across Service Delivery, Digital and Transformation to understand complex business challenges, identify opportunities where data can add value, and deliver actionable insight that improves services for citizens.
- Using a range of analytical and data science techniques, you will explore large and complex datasets to solve business problems, uncover opportunities for service improvement, and provide clear evidence-based recommendations.
- You will build strong relationships with colleagues and senior stakeholders, communicating complex analysis in a way that informs decisions and increases understanding of the opportunities and limitations of data science.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
AI Data Scientist in Newcastle upon Tyne employer: eTeam
As a SQL DBA Lead in Manchester, you will join a dynamic team that values expertise and collaboration, offering a supportive work culture where your contributions are recognised. The company prioritises employee growth through mentorship opportunities and continuous learning, ensuring you can advance your skills in a secure and innovative environment. With a focus on performance and security, this role provides the chance to work on enterprise-level database operations while enjoying the benefits of a fully onsite position in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Scientist in Newcastle upon Tyne
✨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 eTeam 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 eTeam.
✨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 eTeam.
We think you need these skills to ace AI Data Scientist in Newcastle upon Tyne
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at eTeam, 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 eTeam, 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 eTeam’s attention and show the tangible impact of your work.
How to prepare for a job interview at eTeam
✨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 eTeam.
✨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 eTeam.
✨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 eTeam.
