Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy AI/ML solutions using GenAI, Python, and Azure.
- Company: Join a leading tech firm driving AI transformation in London.
- Benefits: Hybrid work model, competitive pay, 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.
- 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:
- 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.
Data Marketing Scientist employer: ixceed solutions
Contact Detail:
ixceed solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Marketing Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GenAI, Python, and Azure. This will give potential employers a taste of what you can do and set you apart from the competition.
✨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.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Marketing 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. Keep it engaging and personal – we love to see your personality!
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 value teamwork and want to know how you can contribute to our collaborative culture.
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 follow the prompts!
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 designed and deployed AI/ML solutions. Highlight your experience with tools like GPT, BERT, and LangChain, as these will be key in demonstrating your expertise.
✨Showcase Collaboration Skills
This role involves working closely with various teams, so be prepared to share examples of how you've collaborated with business stakeholders and technical teams in the past. Discuss how you translated business challenges into AI-driven solutions and the impact of your contributions.
✨Prepare for Technical Questions
Expect to dive deep into model performance evaluation and optimisation techniques. Brush up on relevant KPIs and be ready to explain how you've improved model accuracy and efficiency in previous roles. This will show that you not only understand the theory but can apply it practically.
✨Stay Current with AI Trends
Demonstrate your passion for the field by discussing recent advancements in AI and Machine Learning. Bring innovative ideas to the table that could benefit the team. Showing that you're proactive about learning will set you apart from other candidates.