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- Tasks: Lead the design and development of AI solutions using cutting-edge Microsoft Azure technologies.
- Company: Join a forward-thinking company at the forefront of data science innovation.
- Benefits: Competitive rate, remote work, and the chance to shape the future of AI.
- Why this job: Make a real impact by helping clients unlock the power of data science.
- Qualifications: Experience in Azure, data visualisation, and strong coding skills in Python or SQL.
- Other info: Dynamic role with opportunities for growth and collaboration in a remote setting.
This is an opportunity for a Data Scientist to play a key role in building Machine Learning and AI Solutions for customers, at the forefront of MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently.
Responsibilities
- Take a lead role in the design and development of machine learning, computer vision, statistical algorithms and solutions.
- Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem.
- Lead and support multi-disciplinary teams, taking ownership for the delivery of core solution components.
- Manage the design and delivery of the data architecture.
- Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure Cognitive Services.
- Work directly with clients to understand requirements and present solutions to customer sponsors.
Required Skills & Experience
- Microsoft Azure expertise, setting the technical direction across Microsoft Azure AI Services, Azure Machine Learning and Microsoft CoPilot.
- Extensive experience with Data Visualisation tools, Databricks, ML Flow, storytelling tools and techniques.
- Strong commercial experience creating predictive models, statistical analysis, and pricing analysis.
- Working with large data sets (real time, storage, and geo-spatial data).
- Writing and reviewing data science code, proficient in Python, C#, SQL, R, or other programming languages for data analysis and machine learning.
- A background in data science or data engineering.
- Excellent communication skills.
- Strong appetite to work closely with customers.
Additional Information
- Rate: £500-550 (dependent on experience)
- IR35: Outside
- Start date: Mid Jan
- Initial Duration: 3-month initial sign up
- Location: Remote
- All applicants must be based in the UK and have the right to work
Data Scientist - Outside IR35 employer: Shareforce
Contact Detail:
Shareforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Outside IR35
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Azure technologies. 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 your communication skills. Practice explaining complex data science concepts in simple terms, as you'll need to present findings to stakeholders and clients effectively.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist - Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure and data science. We want to see how you've led teams or worked independently on projects that align with the role, so don’t hold back!
Showcase Your Skills: When writing your application, emphasise your expertise in machine learning, data visualisation tools, and programming languages like Python or SQL. We love seeing specific examples of your work, so include those where you can!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to communicating your findings and recommendations. Use bullet points if it helps make your skills stand out!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Shareforce
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Azure and the specific AI services mentioned in the job description. Brush up on your knowledge of machine learning, data visualisation tools, and programming languages like Python and SQL. Being able to discuss these technologies confidently will show that you’re the right fit for the role.
✨Showcase Your Leadership Skills
Since the role involves leading teams, be prepared to share examples of your past leadership experiences. Talk about how you’ve managed projects, supported team members, and delivered successful outcomes. This will demonstrate your ability to take ownership and guide multi-disciplinary teams effectively.
✨Prepare for Client Interactions
The job requires direct communication with clients, so practice how you would present complex data science concepts in a clear and engaging way. Use storytelling techniques to explain your findings and recommendations, and think about how you can tailor your approach to different stakeholders.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss specific challenges you’ve faced in previous roles and how you tackled them. Highlight your experience with predictive models and statistical analysis, and be prepared to walk through your thought process when solving data-related problems. This will showcase your analytical mindset and practical experience.