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- Tasks: Design and develop AI/ML solutions using GenAI, Python, and Azure.
- Company: Join a leading tech firm driving AI transformation in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 5+ years experience in data science with expertise in GenAI and Python.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking experienced Data Scientists / Senior Data Scientists with strong expertise in GenAI, Python, and Azure to join a large-scale AI transformation initiative based in London.
The ideal candidate will have proven experience in designing, developing, and deploying AI/ML and Large Language Model (LLM)-based solutions within enterprise environments. This role requires close collaboration with business stakeholders, ML Engineers, Product Teams, and cross-functional technical teams to deliver scalable and impactful AI solutions. Experience within the Insurance domain is highly preferred.
Required Skills
- GenAI / Large Language Models (LLMs)
- Python
- Azure / Azure OpenAI
- Machine Learning
- Prompt Engineering
- Data Science & Model Development
Nice to Have
- Insurance industry experience
- Experience with GPT, BERT, LangChain, RAG, and Vector Databases
- Azure ML / Azure AI Studio exposure
Key Responsibilities
- Collaborate with business and technical stakeholders to understand business challenges and translate them into AI/ML-driven solutions.
- Design, build, train, and optimize Machine Learning and GenAI models for enterprise-scale applications.
- Develop and implement LLM-based solutions, including prompt engineering and model evaluation strategies.
- Work closely with ML Engineers and Data Teams to support data acquisition, preprocessing, feature engineering, and pipeline development.
- Evaluate model performance using relevant KPIs and continuously improve model accuracy, efficiency, and scalability.
- Support deployment, monitoring, and maintenance of AI/ML models in production environments.
- Contribute to AI solution architecture, model governance, and best practices for scalable AI implementation.
- Communicate technical findings, recommendations, and project updates effectively to stakeholders and leadership teams.
- Stay updated with the latest advancements in AI, GenAI, and Machine Learning technologies and contribute innovative ideas to the team.
Data Scientist employer: ixceed solutions
Contact Detail:
ixceed solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to Data Science and GenAI. You never know who might have a lead on your dream job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, Azure, and LLMs. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only streamlines the process but also shows your enthusiasm for joining our team. Let’s get you that Data Scientist role!
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 GenAI, Python, and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, highlight any past experiences where you’ve successfully collaborated with stakeholders or technical teams. We love seeing teamwork in action!
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’s super easy!
How to prepare for a job interview at ixceed solutions
✨Know Your Tech Inside Out
Make sure you brush up on your GenAI, Python, and Azure skills. Be ready to discuss specific projects where you've used these technologies, especially in the context of AI/ML solutions. Prepare to explain your thought process and the impact of your work.
✨Showcase Collaboration Skills
This role involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated with stakeholders, ML Engineers, and product teams. Highlight any experience you have in translating business challenges into technical solutions.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning models, prompt engineering, and model evaluation strategies. Brush up on relevant KPIs and be ready to discuss how you've optimised model performance in past projects.
✨Stay Current with Industry Trends
Demonstrate your passion for AI by discussing recent advancements in GenAI and machine learning. Bring up any innovative ideas or projects you've been following, especially those related to the insurance domain, to show you're engaged and forward-thinking.