Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement AI-driven solutions using Azure and OpenAI technologies.
- Company: Join Billigence, a global boutique data consultancy transforming data usage.
- Benefits: Competitive contract pay, inclusive culture, and opportunities for professional growth.
- Why this job: Work on cutting-edge AI projects and make a real impact in data science.
- Qualifications: Experience in Data Science, Azure AI, Python, and strong problem-solving skills.
- Other info: Inclusive environment with a focus on diverse talent and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Billigence is a boutique data consultancy with global reach, transforming the way organisations work with data. We design, tailor, and deliver cutting-edge data solutions across AI, data science, cloud platforms, and governance. Our mission is to help clients unlock the full value of their data and embed a scalable, data-driven culture.
We are seeking a highly skilled Data Science Consultant with expertise in Microsoft Azure AI services and OpenAI. The role will involve designing and delivering advanced AI and machine learning solutions on modern cloud platforms, working closely with client stakeholders to build scalable, intelligent applications. This is an exciting opportunity to apply technical expertise across ML, Python, Databricks, and CI/CD pipelines, while also leveraging advanced Azure services for search, data storage, and analytics.
What you'll do:
- Design, develop, and implement machine learning models and AI-driven solutions.
- Leverage Azure AI services and OpenAI APIs to build scalable, production-ready applications.
- Work with Databricks to process, analyse, and transform large datasets.
- Implement and optimise Azure Search for intelligent information retrieval.
- Design and maintain Cosmos DB solutions for distributed data storage.
- Support deployment workflows with robust CI/CD pipelines.
- Provide best practices and thought leadership in AI and data science to clients and internal teams.
What you'll need:
- Proven experience in Data Science roles with expertise in Azure AI Services and OpenAI.
- Strong programming skills in Python and applied machine learning.
- Hands-on experience with Databricks for data engineering and ML workflows.
- Knowledge of Azure Search and Cosmos DB.
- Experience building and managing CI/CD pipelines.
- Strong communication skills and ability to work with both technical and non-technical stakeholders.
- Problem-solving mindset and ability to deliver results in fast-paced environments.
We are an equal-opportunity and inclusive employer and are committed to creating an inclusive environment for all applicants and employees. We will consider all applicants for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.
If you are a talented and experienced Data Expert who is passionate about working on cutting-edge AI and cloud projects, we'd love to hear from you!
Data Science Consultant in London employer: Billigence
Contact Detail:
Billigence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant in London
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or even just chat with folks on LinkedIn. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Azure AI services and OpenAI. Share your work on GitHub or a personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for interviews by practising common data science questions and scenarios. Be ready to discuss your experience with Python, Databricks, and CI/CD pipelines. Confidence and clarity can really set you apart!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team at Billigence.
We think you need these skills to ace Data Science Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Consultant role. Highlight your experience with Azure AI services, OpenAI, and any relevant projects you've worked on. We want to see how your skills match 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 data science and how you can contribute to our mission at Billigence. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your programming skills in Python and your hands-on experience with Databricks. Mention any CI/CD pipelines you've managed and how you've used Azure Search and Cosmos DB in your projects. We’re keen to see your technical prowess!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Billigence
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure AI services, OpenAI, and Databricks. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving mindset. Think of situations where you had to deliver results under pressure or tackle complex data challenges. This will demonstrate your ability to thrive in fast-paced environments.
✨Communicate Clearly with Stakeholders
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between different teams and ensure everyone is on the same page.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in their data initiatives. This shows your genuine interest in the role and the company.
