Data Scientist

Data Scientist

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to design and scale AI solutions for diverse projects.
  • Company: Work with 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 AI techniques and experience in data science platforms 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.

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Cheltenham. 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 Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? 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 me directly at henry.clay-davies@searchability.com. For further information please call me on 0161 416 6800 or 07719065951 – I can make myself available outside of normal working hours to suit from 7 am until 10 pm. 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

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Contact Detail:

Searchability NS&D Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as machine learning, GenAI, and NLP. Being able to discuss these topics confidently during your interview will demonstrate your expertise and enthusiasm for the role.

✨Tip Number 2

Network with professionals in the field, especially those who have experience with enhanced DV clearance roles. Engaging with them on platforms like LinkedIn can provide you with insights and potentially valuable connections that could help you land the job.

✨Tip Number 3

Prepare to showcase your problem-solving skills by thinking of examples where you've successfully identified challenges and implemented solutions. This is crucial as the role involves working closely with clients to address their needs.

✨Tip Number 4

Research the company and its projects thoroughly. Understanding their portfolio and how your skills can contribute to their success will allow you to tailor your discussions and show genuine interest during interviews.

We think you need these skills to ace Data Scientist

Machine Learning
Generative AI (GenAI)
Natural Language Processing (NLP)
Deep Learning
Graph Analytics
Time Series Analysis
Data Science Platforms (e.g. Databricks, AzureML)
Cloud Services (AWS, Azure, GCP)
Terraform
Docker
Kubernetes
CI/CD Tools
Solution Architecture
Software Engineering
Stakeholder Engagement
Agile Team Leadership
Communication Skills
Presentation Skills
RFI/RFP Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience and skills relevant to the Data Scientist role. Focus on your proficiency in machine learning, GenAI, NLP, and any relevant projects you've worked on.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and AI. Mention specific projects or experiences that demonstrate your ability to solve complex problems and lead teams.

Highlight Your Clearance: Since enhanced DV clearance is a requirement, clearly state your current clearance status in your application. This will help the employer quickly assess your eligibility.

Showcase Communication Skills: In your application, provide examples of how you've simplified complex concepts for stakeholders or led Agile teams. Strong communication is key for this role, so make it evident in your writing.

How to prepare for a job interview at Searchability NS&D

✨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

As a Data Scientist, you'll need to simplify complex concepts for clients and stakeholders. Practice explaining your past projects and technical skills in a way that is easy to understand, highlighting the value you brought to those projects.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities and how you approach challenges. Think about specific situations where you've had to lead a team or manage stakeholder expectations, and be ready to share those experiences.

✨Demonstrate Your Passion for Innovation

Show enthusiasm for the latest trends in AI and data science. Be ready to discuss any recent developments in the field that excite you, and how you see them impacting the industry. This will reflect your commitment to continuous learning and growth.

Data Scientist
Searchability NS&D
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