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- Tasks: Leverage Python and Azure ML Ops to drive data-driven decisions in the energy sector.
- Company: Join a forward-thinking company focused on innovation in the energy industry.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on collaboration and continuous learning.
- Why this job: Make an impact by using cutting-edge technology to solve real-world energy challenges.
- Qualifications: Experience in data science, machine learning, and cloud solutions is essential.
The predicted salary is between 50000 - 70000 £ per year.
We are currently looking for a number of skilled Data Scientists with strong expertise in Python to join our clients team. You must have experience of working within the energy industry previously and the role involves managing Azure ML Ops, large data modelling, and leveraging the Databricks platform.
The ideal candidate will have a robust background in data science, machine learning, and cloud-based solutions to drive data-driven decision-making and innovation within the role. Utilise Python for advanced data analysis, exploration, and processing to uncover insights and trends and develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks.
You will manage and optimise ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models and collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Develop and maintain large-scale data models to support analytics and reporting needs as well as utilising Databricks for advanced data processing and analytics, ensuring scalability and performance. Ensure data quality and integrity through effective data governance and validation processes and stay updated with the latest advancements in data science, machine learning, and cloud technologies to ensure best practices are applied.
You will be on site a couple of days a week max and the roles will be inside IR35.
Data Scientist (Energy) in Wokingham employer: Fuel Recruitment
Contact Detail:
Fuel Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Energy) in Wokingham
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to Azure ML Ops and Databricks. We want to see how you’ve tackled real-world problems and made data-driven decisions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common data science interview questions and scenarios, especially around machine learning and cloud solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our clients’ teams.
We think you need these skills to ace Data Scientist (Energy) in Wokingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the energy industry and your expertise in Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background in Azure ML Ops and Databricks makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data science projects, especially those involving machine learning or cloud solutions, make sure to mention them. We love seeing practical examples of your work that demonstrate your skills and creativity.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Fuel Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of data analysis and machine learning. Be ready to discuss specific libraries you've used, like Pandas or Scikit-learn, and how they relate to the projects you've worked on.
✨Familiarise Yourself with Azure ML Ops
Since the role involves managing Azure ML Ops, it’s crucial to understand its functionalities. Prepare to talk about your experience with deploying and monitoring models in Azure, and any challenges you faced while optimising ML Ops processes.
✨Showcase Your Energy Industry Experience
Highlight your previous work in the energy sector. Be prepared to discuss how your data science skills have contributed to solving industry-specific problems and how you can leverage that experience in this new role.
✨Collaborate and Communicate
This role requires working with cross-functional teams, so be ready to demonstrate your collaboration skills. Share examples of how you've translated business requirements into data-driven solutions and how you ensure effective communication within teams.