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- 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 employer committed to diversity and equal opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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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.
About the role
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.
Inclusion and equal opportunities
We are always on the lookout for talented individuals to join our team at Billigence. 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.
Got any questions?
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!
For any questions related to the application process, please contact UK.Recruitment@Billigence.com
Job details
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Business Development, Product Management, and Design
- Industries: Data Infrastructure and Analytics, Climate Data and Analytics, and IT System Data Services
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Data Science Consultant employer: Billigence
Contact Detail:
Billigence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Azure and AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Databricks, and Azure services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios and case studies. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure AI services and OpenAI. 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 data science and how you can contribute to our mission at Billigence. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: When detailing your experience, focus on your programming skills in Python and any hands-on work with Databricks. We’re keen to see how you’ve tackled challenges in previous roles, especially in fast-paced environments.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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, especially in fast-paced environments. This will demonstrate your ability to think critically and adapt quickly.
✨Communicate Clearly with Stakeholders
Since the role involves 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.
✨Demonstrate Your CI/CD Knowledge
Be ready to discuss your experience with CI/CD pipelines. Share specific examples of how you've implemented or optimised these workflows in past projects, as this is crucial for delivering scalable applications.
