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- Tasks: Transform business questions into analytics and build models using Python or R on Azure.
- Company: Dynamic tech company in Manchester focused on closing the digital skills gap.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by deploying insights in Power BI and shaping data-driven decisions.
- Qualifications: Over 2 years of applied data science experience required.
- Other info: Diverse and inclusive workplace encouraging applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
A technology company in Manchester is hiring a Contract Data Scientist to start ASAP. The role involves transforming business questions into measurable analytics, building models using Python or R on Azure, and deploying insights in Power BI.
Candidates should have over 2 years of applied data science experience. This position supports the mission to close the digital skills gap and encourages applications from diverse backgrounds.
Contract Data Scientist: Analytics & ML on Azure & Power BI in Manchester employer: AND Digital
Contact Detail:
AND Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Scientist: Analytics & ML on Azure & Power BI in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data science or analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, Azure, and Power BI. 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 questions and case studies. Practice explaining your thought process when tackling business problems, as this is key to demonstrating your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about closing the digital skills gap and want to see diverse talent. Your next opportunity could be just a click away!
We think you need these skills to ace Contract Data Scientist: Analytics & ML on Azure & Power BI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python or R, especially in the context of Azure and Power BI. We want to see how you've transformed business questions into actionable insights!
Showcase Your Projects: Include specific examples of projects where you've applied data science techniques. We love seeing real-world applications, so don’t hold back on the details that demonstrate your skills and impact.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can help close the digital skills gap. Make it personal and engaging – we want to get to know you!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at AND Digital
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Power BI, and the programming languages mentioned, like Python or R. Brush up on your experience with these tools and be ready to discuss specific projects where you’ve used them to solve business problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've transformed complex business questions into actionable insights. Think of examples where your analytics made a real impact, and be ready to explain your thought process and the models you built.
✨Diversity Matters
Since the company encourages applications from diverse backgrounds, don’t hesitate to share your unique perspective. Discuss how your experiences can contribute to closing the digital skills gap and how diversity can enhance team performance.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to data science and their vision for the future. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
