Azure Data Scientist - Outside IR35
Posted Today by ShareForce
£550 Per day
Outside
Remote
London Area, United Kingdom
Summary: This role is for a Data Scientist focused on developing Machine Learning and AI solutions using Microsoft Azure technologies. The candidate will lead teams or work independently to design and implement data science solutions, manage data architecture, and communicate findings to stakeholders. The position requires strong technical expertise in Azure and data visualization tools, along with excellent communication skills. The role is remote and outside IR35 regulations.
Key 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.
Key Skills:
- 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.
- Excellent communication skills.
- Strong appetite to work closely with customers.
- A background in data science or data engineering.
Salary (Rate): £550 daily
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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.
- Excellent communication skills.
- Strong appetite to work closely with customers.
- A background in data science or data engineering.
Desirable:
- Retail Industry experience
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