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- Tasks: Design and deploy AI/ML solutions using GenAI, Python, and Azure.
- Company: Join a leading firm driving AI transformation in London.
- Benefits: Hybrid work model, competitive pay, and opportunities for 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 strong GenAI and Python skills.
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.
- GenAI / Large Language Models (LLMs)
- Python
- Machine Learning
- Data Science & Model Development
- Experience with GPT, BERT, LangChain, RAG, and Vector Databases
- Azure ML / Azure AI Studio exposure
Responsibilities include:
- 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.
- 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.
Marketing Data Scientist employer: ixceed solutions
Contact Detail:
ixceed solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GenAI, Python, and Azure. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical stakeholders. We suggest doing mock interviews with friends or using online resources.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Marketing 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 the perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, highlight any past experiences where you collaborated with stakeholders or technical teams. We value teamwork, so let us know how you’ve made an impact!
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 – just a few clicks and you’re done!
How to prepare for a job interview at ixceed solutions
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GenAI, Python, and Azure. Be ready to discuss specific projects where you've used these technologies, especially in designing and deploying AI/ML solutions. The more detailed your examples, the better!
✨Showcase Collaboration Skills
This role involves working closely with various teams, so be prepared to share experiences where you've collaborated with business stakeholders or technical teams. Highlight how you translated business challenges into AI-driven solutions and the impact of your contributions.
✨Demonstrate Continuous Learning
Stay updated with the latest advancements in AI and Machine Learning. Mention any recent trends or technologies you've explored, like GPT or BERT, and how they could apply to the role. This shows your passion for the field and your commitment to growth.
✨Prepare for Technical Questions
Expect to face some technical questions or case studies during the interview. Practice explaining your thought process when evaluating model performance or optimising machine learning models. Clear communication of your approach is key to impressing the interviewers.