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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI and analytics solutions.
- Company: Join a forward-thinking organisation focused on Data & AI strategy.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: 2-4 years in AI/ML delivery with strong coding and collaboration skills.
- Other info: Dynamic team environment with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
My client is recruiting for a Data Scientist to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.
Key Responsibilities
- End-to-end development of AI/ML solutions.
- Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
- Generative AI features: embeddings, RAG, AI agents.
- Clean, testable code with modern engineering practices.
- Align with enterprise architecture and governance.
- Collaborate with architects and stakeholders.
- Lifecycle management of models.
- Pilot emerging technologies.
Experience & Skills
- 2–4 years in production-level AI/ML delivery.
- Legal/professional services experience is a plus.
- AI/ML frameworks: PyTorch, TensorFlow, LangChain.
- Generative AI: LLMs, RAG, chat agents.
- Strong coding, communication, and collaboration skills.
- Strategic thinking, problem-solving, and stakeholder engagement.
Data Scientist employer: DGH Recruitment
Contact Detail:
DGH Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those using tools like PyTorch or TensorFlow. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the latest trends in generative AI. Practice common interview questions and be ready to discuss how you've tackled real-world problems in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that align with your skills. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions and the specific tools mentioned in the job description. We want to see how your skills align with our needs, so don’t be shy about showcasing your 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 your background fits into our Data & AI strategy. We love seeing enthusiasm and a clear connection to the role.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! We’re interested in your end-to-end development experience and how you’ve tackled challenges using frameworks like PyTorch or TensorFlow.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at DGH Recruitment
✨Know Your AI/ML Tools
Familiarise yourself with the specific tools mentioned in the job description, like LangChain and Azure OpenAI. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in frameworks like PyTorch and TensorFlow. You might be asked to solve a problem on the spot, so practice writing clean, testable code that adheres to modern engineering practices.
✨Understand the Business Context
Research the organisation's Data & AI strategy and think about how your role as a Data Scientist fits into that picture. Be prepared to discuss how you can align your work with their enterprise architecture and governance.
✨Engage with Stakeholders
Highlight your collaboration skills by preparing examples of how you've worked with architects and stakeholders in the past. Show that you can communicate complex ideas clearly and engage effectively with different teams.
