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- Tasks: Automate workflows and design predictive models using Python, Spark, and Azure.
- Company: Leading analytics firm in the UK with a focus on innovation.
- Benefits: Competitive salary, continuous development, and a collaborative work environment.
- Why this job: Join a dynamic team and make a real impact in data science.
- Qualifications: Strong SQL skills and experience with version control required.
- Other info: Embrace a culture of growth and effective communication with stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm in the UK is seeking a skilled Data Scientist to enhance their analytics capabilities. The ideal candidate will automate workflows using Python and Spark, champion reproducibility, and transition to an Azure-native stack.
Responsibilities include:
- Designing predictive models
- Replacing manual processes with code-first solutions
- Utilizing cloud frameworks
Candidates should have strong SQL skills and experience with version control. The firm fosters a culture of continuous development and effective communication with stakeholders.
Production-Focused Data Scientist (Azure, Python, Spark) in Exeter employer: Lightfoot
Contact Detail:
Lightfoot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production-Focused Data Scientist (Azure, Python, Spark) in Exeter
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Spark, and Azure. We recommend sharing this on platforms like GitHub to demonstrate your coding prowess and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and version control knowledge. We suggest practising common data science interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Production-Focused Data Scientist (Azure, Python, Spark) in Exeter
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, Spark, and Azure in your application. We want to see how you've used these tools to automate workflows and design predictive models, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the role.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to our job description. Mention specific projects or experiences that align with our needs, especially around reproducibility and cloud frameworks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Lightfoot
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Python, and Spark. Brush up on how these technologies integrate and be ready to discuss your experience with them. Prepare examples of how you've used these tools to automate workflows or design predictive models.
✨Showcase Your SQL Skills
Since strong SQL skills are a must, be prepared to demonstrate your knowledge. You might be asked to solve a problem on the spot, so practice writing queries and think about how you can optimise them for performance.
✨Emphasise Reproducibility
The firm values reproducibility, so come equipped with examples of how you’ve ensured your work is repeatable. Discuss any version control systems you’ve used and how they’ve helped maintain code integrity in your projects.
✨Communicate Effectively
Effective communication with stakeholders is key. Think about times when you’ve had to explain complex data concepts to non-technical audiences. Practise articulating your thought process clearly and concisely, as this will show you can bridge the gap between data science and business needs.
