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- Tasks: Design and deploy AI applications using Python, focusing on generative AI techniques.
- Company: Global consultancy with a focus on innovative AI-driven solutions.
- Benefits: Hybrid work model, competitive pay, and exposure to cutting-edge technologies.
- Why this job: Join a high-performing team and make a real impact in AI transformation.
- Qualifications: Advanced Python skills and experience with Azure AI services required.
- Other info: Opportunity for career growth in a dynamic, collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A global consultancy is seeking a Data Scientist to join its internal transformation team focused on delivering AI-driven solutions across tax and legal services. This is a contract role within a high-performing data and AI group, offering exposure to cutting-edge generative AI technologies and the opportunity to contribute to impactful service delivery innovations.
Key Responsibilities:
- Design and deploy Python-based AI applications for internal use
- Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation
- Build agentic systems and LLM-assisted frameworks using modern orchestration tools
- Collaborate with cross-functional teams to deliver production-ready solutions
- Maintain high standards of code quality, documentation, and testing
- Develop evaluation pipelines and ensure robust quality control across deployments
Essential Skills and Experience:
- Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex
- Deep expertise in Azure and its AI services, including Azure AI Foundry
- Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents)
- Familiarity with software engineering best practices: version control, testing, deployment
- Ability to collaborate with AI engineers and translate prototypes into scalable solutions
Desirable Skills:
- Experience optimizing workflows and building scalable AI pipelines
- Strong data analytics and visualization capabilities (Excel, Alteryx)
- Understanding of Responsible AI principles and practices
Data Scientist - Contract in London employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with AI. 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 Python projects and any generative AI applications you've worked on. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Azure AI services and how you've applied GenAI techniques in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're serious about joining our team.
We think you need these skills to ace Data Scientist - Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your Python skills and any experience with AI technologies, especially those mentioned in the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills can contribute to our team. Keep it concise but impactful – we love a good story that connects your experience to our mission.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience with generative AI techniques and Python applications. It helps us understand your practical skills better.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Jefferson Frank
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like Numpy, Pandas, and Scikit-Learn. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Familiarise Yourself with Generative AI Techniques
Since the role involves working with generative AI, it’s crucial to understand concepts like prompt engineering and retrieval-augmented generation. Prepare to explain how you've applied these techniques in past projects or how you would approach them in this role.
✨Showcase Your Collaboration Skills
This position requires working with cross-functional teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve translated technical concepts for non-technical stakeholders.
✨Demonstrate Your Understanding of Responsible AI
With a focus on Responsible AI principles, make sure you can discuss what this means to you and how you’ve implemented these practices in your work. This will show that you’re not just technically skilled but also aware of the ethical implications of AI.
