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- Tasks: Lead the design and development of machine learning solutions using MS Azure technologies.
- Company: Join a forward-thinking company at the forefront of AI and data science innovation.
- Benefits: Enjoy remote work options and competitive rates between £500-550.
- Why this job: Make a real impact by helping clients unlock the power of data science and machine learning.
- Qualifications: Experience with Azure, Databricks, Python, and strong communication skills are essential.
- Other info: Flexible working hours available; full-time or fractional roles for 4-6 weeks.
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, statistical algorithms and solutions.
- Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem.
- 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.
- Work directly with clients to understand requirements and present solutions to customer sponsors.
Required Skills & Experience:
- Microsoft Azure expertise primarily using Azure Machine Learning.
- Extensive experience with 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: ASAP.
- Initial Duration: Join on a full-time basis for 4 weeks, or a fractional basis (2-3 days/ week) for 6 weeks.
- 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
Familiarise yourself with Microsoft Azure and its machine learning capabilities. Since this role heavily relies on Azure technologies, showcasing your hands-on experience with Azure Machine Learning during discussions can set you apart.
✨Tip Number 2
Brush up on your communication skills. This position requires you to present findings and recommendations to stakeholders, so practice explaining complex data science concepts in simple terms to demonstrate your ability to engage with clients effectively.
✨Tip Number 3
Prepare examples of your previous work with large datasets and predictive models. Be ready to discuss specific projects where you successfully implemented machine learning solutions, as this will highlight your practical experience and problem-solving skills.
✨Tip Number 4
Network with professionals in the data science field, especially those who have experience with Azure. Engaging with others in the industry can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
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, machine learning, and data science. Include specific projects where you've led teams or worked independently, showcasing your ability to deliver solutions.
Craft a Compelling Cover Letter: In your cover letter, emphasise your commercial experience and how it aligns with the responsibilities outlined in the job description. Mention your expertise in tools like Databricks and ML Flow, and express your enthusiasm for working closely with clients.
Showcase Relevant Projects: If you have a portfolio or examples of previous work, include them in your application. Highlight projects that demonstrate your skills in predictive modelling, statistical analysis, and your proficiency in programming languages such as Python or SQL.
Prepare for Communication: Since excellent communication skills are essential for this role, be ready to discuss how you've effectively communicated findings and recommendations to stakeholders in past roles. Consider including examples in your application.
How to prepare for a job interview at Shareforce
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Microsoft Azure, particularly Azure Machine Learning. Highlight specific projects where you've used Databricks or ML Flow, and be ready to explain the algorithms and models you've developed.
✨Demonstrate Your Problem-Solving Ability
Think of examples where you've tackled complex data challenges. Be ready to walk through your thought process in designing machine learning solutions and how you approached problem-solving with large datasets.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice explaining technical concepts in a way that non-technical stakeholders can understand. Prepare to present your findings clearly and confidently.
✨Understand Client Needs
Research the company and its clients beforehand. Be ready to discuss how you would approach understanding client requirements and translating them into actionable data science solutions.
