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- Tasks: Work on innovative AI projects, solving real-world problems with cutting-edge technology.
- Company: Join a global leader in tech and consulting, driving digital transformation across sectors.
- Benefits: Enjoy a competitive salary, 15% clearance bonus, and excellent career progression opportunities.
- Why this job: Be part of an inclusive culture, publish research, and represent the company at conferences.
- Qualifications: Proficiency in machine learning, GenAI, NLP, and experience with cloud services required.
- Other info: Must have active enhanced DV Clearance and be willing to work full-time on-site in Cheltenham.
The predicted salary is between 36000 - 60000 £ per year.
Must have active enhanced DV (West) Clearance. Junior to Lead levels available, £45k to £95k DoE plus 15% clearance bonus. Must be willing to be full-time on-site in Cheltenham.
We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.
What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.
Key Skills and Requirements
- Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
- Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
- Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
- Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
- Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.
To be Considered: Please either apply by clicking online or emailing directly. For further information please call. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit your application to our client in conjunction with this vacancy only.
Contact Detail:
JobHoller Recruiting Team
henry.clay-davies@searchability.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / AI Engineer
✨Tip Number 1
Make sure to highlight your experience with machine learning and AI techniques during any networking opportunities. Engage in conversations about recent advancements in GenAI or NLP, as this will showcase your passion and knowledge in the field.
✨Tip Number 2
Connect with professionals in the data science and AI community on platforms like LinkedIn. Follow industry leaders and participate in discussions to increase your visibility and demonstrate your expertise, which can lead to referrals for positions like the one at StudySmarter.
✨Tip Number 3
Attend relevant conferences or workshops where you can meet potential employers and learn more about the latest trends in data science. This not only expands your network but also gives you insights that can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your experience with cloud services and data science platforms in detail. Be ready to share specific examples of how you've used tools like AWS, Azure, or Databricks to solve real-world problems, as this will set you apart from other candidates.
We think you need these skills to ace Data Scientist / AI Engineer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your proficiency in machine learning, GenAI, NLP, and other key skills mentioned in the job description. Tailor your CV and cover letter to showcase how your experience aligns with these requirements.
Demonstrate Communication Skills: Since strong communication is crucial for this role, provide examples in your application that illustrate your ability to simplify complex concepts and manage stakeholders effectively. This could be through past projects or experiences.
Showcase Project Experience: Include specific examples of projects where you have successfully designed and delivered data science solutions. Highlight your experience with tools like Databricks, AzureML, Docker, and Kubernetes, as well as any relevant public or private sector work.
Express Enthusiasm for Continuous Learning: Mention your eagerness to develop your skillset and engage in opportunities such as publishing whitepapers or attending conferences. This shows your commitment to growth within the field and aligns with the inclusive culture they promote.
How to prepare for a job interview at JobHoller
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in machine learning, GenAI, and NLP during the interview. Be prepared to discuss specific projects where you've applied these skills, as well as any relevant tools like Databricks or AzureML.
✨Communicate Clearly
As a Data Scientist, you'll need to simplify complex concepts for clients and stakeholders. Practice explaining your past work in a way that is easy to understand, focusing on the value you delivered and how you overcame challenges.
✨Demonstrate Leadership and Teamwork
Whether you're applying for a junior or lead position, be ready to discuss your experience in leading Agile teams or collaborating with others. Share examples of how you've motivated team members and contributed to successful project outcomes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about potential challenges you might face in the role and how you would approach them, especially in relation to client engagement and solution delivery.
