At a Glance
- Tasks: Transform data into actionable insights and automate workflows using Python and big data frameworks.
- Company: Join a sustainability-focused company driving innovation in analytics.
- Benefits: Enjoy a competitive salary, bonus, healthcare, and a great work-life balance with hybrid options.
- Other info: Exciting opportunity for career growth in a dynamic and evolving tech landscape.
- Why this job: Be at the forefront of data science, shaping decision-making and customer experiences.
- Qualifications: Proficient in Python, SQL, and big data tools; experience in agile environments is a plus.
The predicted salary is between 55000 - 55000 € per year.
Exeter, Devon (Hybrid-working minimum of x2 days in the office you must be based locally)
c£55,000 per year Plus an excellent benefits package (including Pension, Bonus, Life Insurance, Healthcare, etc.)
Skills and Experience:
- Expert proficiency in Python for data manipulation and automation is essential. You must be comfortable writing production-grade code, not just scripts.
- Advanced SQL skills for querying and transforming data from disparate sources.
- Hands-on experience with Spark (PySpark) or similar big data frameworks and working within distributed computing environments.
- Familiarity with cloud platforms, preferably Azure (Data Lake, Databricks, Data Factory).
- Experience using Jupyter/Databricks Notebooks for analysis and VS Code for pipeline development.
- Experience working in an agile environment using Git for version control to manage codebases and collaborative workflows.
- Design and implement models and algorithms.
- Replace manual Excel and VBA workflows with robust automated python pipelines.
- You will be responsible for producing insights to ensure they run reliably without manual intervention.
- Translate complex datasets into clear interactive narratives that drive strategic action across all departments.
The Opportunity:
My client based in the sustainability sector are currently on the lookout for a Data Scientist on a permanent basis. My client is seeking a technical and hands-on individual to drive the evolution of their analytics capabilities. They want someone to help them move beyond traditional reporting.
You will be responsible for building reproducible and code-first data products that power their internal decision-making and customer facing features. Finally, you will play a central role in the transition to an Azure-native stack from legacy systems, and this new stack will be utilising Python, Spark and Cloud computing to automate complex workflows.
Applications:
To learn more about our client and this great opportunity on offer working as a Data Scientist please call and speak with John Noonan here at ISR Recruitment on 07719 919 860 or please email me a copy of your very latest CV (john@isr.uk.com) and I’ll call you back to discuss the role in more detail.
Data Scientist - Exeter employer: ISR Recruitment
Join a forward-thinking company in the sustainability sector that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Scientist will directly impact strategic decisions. With a competitive salary and an excellent benefits package, including healthcare and a pension scheme, you will have ample opportunities for professional growth while working in a hybrid environment in Exeter. Embrace the chance to be at the forefront of technological evolution, transitioning to an Azure-native stack and developing cutting-edge data products that drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Exeter
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and Spark. 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 technical skills and practising common data science questions. Be ready to discuss your experience with cloud platforms like Azure and how you've tackled real-world problems using data.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent just like yours.
We think you need these skills to ace Data Scientist - Exeter
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and SQL skills prominently. We want to see how you've used these tools in real projects, so don’t hold back on the details!
Showcase Your Projects:Include examples of your work with Spark or cloud platforms like Azure. We love seeing hands-on experience, so if you've built any data products or automated workflows, let us know!
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your experience and how it relates to the role. We appreciate a well-structured application that’s easy to read.
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 this exciting opportunity!
How to prepare for a job interview at ISR Recruitment
✨Master Your Python Skills
Make sure you can demonstrate your expert proficiency in Python during the interview. Prepare to discuss specific projects where you've written production-grade code, not just scripts. Be ready to explain how you've used Python for data manipulation and automation.
✨Show Off Your SQL Savvy
Brush up on your advanced SQL skills before the interview. You might be asked to solve a problem or query data from disparate sources, so practice writing complex queries. Highlight any experience you have transforming data and how it contributed to previous projects.
✨Familiarise Yourself with Big Data Frameworks
Since hands-on experience with Spark (PySpark) is essential, be prepared to discuss your familiarity with big data frameworks. If you've worked in distributed computing environments, share specific examples of how you’ve implemented solutions using these technologies.
✨Prepare for Agile and Collaborative Work
As the role involves working in an agile environment, be ready to talk about your experience using Git for version control. Discuss how you've collaborated with teams on codebases and workflows, and provide examples of how you’ve contributed to successful projects in this setting.
