Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and evaluate AI models, translating insights into actionable outcomes.
- Company: Global consultancy with a focus on innovative AI solutions.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in a fully remote role.
- Qualifications: Strong Python skills and experience in AI or Agentic AI projects required.
- Other info: Engaging environment with client interaction and continuous learning opportunities.
The predicted salary is between 42000 - 84000 £ per year.
Data Scientist for a Global consultancy. Varied clients. Please only apply if you have the ability to be security cleared (5+ years in the UK).
Role - Data Scientist - AI / Agentic AI
Type - Perm
Location - Remote - Occasional office visit in the UK
Salary - £60,000
Role
The Data Scientist will join a growing analytics and AI function, contributing to the development of intelligent solutions that support business decision making and automation. This role is ideal for someone with solid Python skills, hands on exposure to AI or Agentic AI projects, and a strong grounding in machine learning fundamentals. You will work closely with internal teams and external clients, translating technical insights into clear, actionable outcomes.
Key Responsibilities
- Build, train, and evaluate machine learning models to support a range of analytical and AI driven initiatives.
- Contribute to the development of Agentic AI solutions, including workflow automation, reasoning systems, or LLM based tools.
- Write clean, efficient Python code for data processing, modelling, and experimentation.
- Extract, manipulate, and analyse data using SQL across structured data environments.
- Support feature engineering, model optimisation, and validation activities.
- Collaborate with cross functional teams to understand requirements and deliver insights.
- Communicate findings clearly to technical and non-technical stakeholders.
- Participate in client facing discussions, demos, and solution walkthroughs.
Required Skills & Experience
- Strong proficiency in Python for data science and machine learning.
- Demonstrable experience working on AI or Agentic AI projects (critical requirement).
- Solid understanding of machine learning fundamentals, including supervised and unsupervised techniques.
- Good working knowledge of SQL for data extraction and analysis.
- Approximately 5 years of hands on experience in data science or a closely related field.
Nice to Have Skills
- Experience with Databricks for data engineering or ML workflows.
- Familiarity with Azure ML, MLflow, or similar MLOps tooling.
- Exposure to feature engineering best practices and model lifecycle management.
Soft Skills
- Strong communication skills with the ability to explain complex concepts simply.
- Comfortable in client facing environments, including presentations and requirement gathering sessions.
- Proactive, curious, and eager to learn emerging AI technologies.
Remote working/work at home options are available for this role.
Data Scientist - Fully Remote - Consultancy - AI/Agentic AI employer: GCS
Contact Detail:
GCS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Fully Remote - Consultancy - AI/Agentic AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in AI or consultancy. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms, as you'll need to convey insights to both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - Fully Remote - Consultancy - AI/Agentic AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any experience with AI or Agentic AI projects. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills: Since you'll be working with both technical and non-technical stakeholders, make sure to demonstrate your ability to communicate complex ideas simply. We appreciate clarity and conciseness in your application!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at GCS
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data processing, modelling, and experimentation. You might even be asked to solve a coding challenge, so practice writing clean and efficient code.
✨Showcase Your AI Experience
Since this role focuses heavily on AI and Agentic AI projects, prepare specific examples of your past work in these areas. Be ready to explain the challenges you faced, how you overcame them, and the impact your solutions had on the business.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to convey insights to both technical and non-technical stakeholders. Consider doing mock interviews with friends to refine your delivery.
✨Prepare for Client Interactions
Since the role involves client-facing discussions, think about how you would approach requirement gathering sessions or solution walkthroughs. Prepare to discuss how you would handle client questions and present your findings effectively.
