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- Tasks: Design and scale impactful AI solutions while collaborating with clients.
- Company: Join a global leader in technology and consulting, driving digital innovation.
- Benefits: Enjoy a competitive salary, 15% clearance bonus, and excellent career progression.
- Why this job: Be part of an inclusive culture with opportunities to publish and represent at conferences.
- Qualifications: Proficiency in machine learning, GenAI, and strong communication skills required.
- Other info: Must have active enhanced DV Clearance and be willing to work 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 on 0161 416 6800 or 07719065951. 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 (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Data Scientist / AI Engineer employer: JobHoller
Contact Detail:
JobHoller Recruiting Team
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 networking events or conversations. This will help you stand out as a candidate who is not only knowledgeable but also passionate about the field.
✨Tip Number 2
Engage with professionals in the data science community on platforms like LinkedIn. Share insights, comment on relevant posts, and connect with individuals who work at companies you're interested in, especially those in the public and private sectors.
✨Tip Number 3
Attend industry conferences or webinars focused on AI and data science. These events are great for networking and can provide you with valuable insights into the latest trends and technologies that could impress potential employers.
✨Tip Number 4
Consider creating a portfolio showcasing your projects related to machine learning, GenAI, and NLP. This can serve as a practical demonstration of your skills and make you more memorable to hiring managers.
We think you need these skills to ace Data Scientist / AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI, and machine learning. Emphasise your skills in GenAI, NLP, and any specific tools mentioned in the job description, such as Databricks or AzureML.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and AI. Mention your experience with stakeholder engagement and how you can contribute to the client's projects. Be sure to address your enhanced DV clearance status.
Showcase Your Technical Skills: In your application, provide examples of projects where you've used machine learning, deep learning, or cloud services. Highlight any experience with Docker, Kubernetes, or CI/CD tools to demonstrate your technical expertise.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous work in detail. Prepare to explain complex concepts in simple terms, as communication is key in this role. Also, think about how you would approach client challenges and lead teams.
How to prepare for a job interview at JobHoller
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, GenAI, and NLP in detail. Bring examples of projects you've worked on that demonstrate your proficiency in these areas, as well as your ability to apply them in real-world scenarios.
✨Communicate Clearly
Since the role requires strong communication skills, practice explaining complex concepts in simple terms. This will help you demonstrate your ability to manage stakeholders and lead teams effectively during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you would approach specific challenges. Think about past experiences where you identified a problem, defined a solution, and successfully delivered results.
✨Research the Company and Its Projects
Familiarise yourself with the client’s portfolio and their work in both public and private sectors. Understanding their projects will allow you to tailor your responses and show genuine interest in contributing to their success.
