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- Tasks: Use data science to drive impactful solutions in the renewable energy sector.
- Company: Join a forward-thinking company focused on sustainable energy solutions.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Why this job: Make a difference in renewable energy while honing your data science skills.
- Qualifications: 5+ years in data science with a focus on energy; strong Python or R skills.
- Other info: Collaborative environment with a commitment to continuous learning and innovation.
The predicted salary is between 36000 - 60000 £ per year.
3-Month contract - Inside IR35 - market rate
Selby based - hybrid working - 1/2 days office based
Key Responsibilities
- Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value.
- Collect, clean, and transform structured and unstructured data from multiple internal and external sources.
- Develop, test, and deploy predictive models and machine learning algorithms to address business challenges.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers.
- Communicate insights and recommendations through clear storytelling, visualisations, and dashboards.
- Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance.
- Evaluate model accuracy and effectiveness, implementing continuous optimisation and tuning.
- Stay up to date with emerging data science tools, methodologies, and industry best practices.
- Perform sensitivity analysis to assess model robustness and variable impact.
Required Skills and Qualifications
- At least 5 years' experience in client-facing data science roles with demonstrable impact on business outcomes.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
- Strong proficiency in Python or R, including libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch.
- Solid understanding of statistical analysis, hypothesis testing, and experimental design.
- Hands-on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods).
- Proficiency with SQL and data warehousing technologies.
- Ability to translate complex analytical findings into clear, practical business recommendations.
- Strong problem-solving skills and natural curiosity for exploring and understanding data.
- Industry experience in power generation and power trading.
Preferred Skills and Qualifications
- Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
- Background in deploying machine learning models into production environments (MLOps experience is advantageous).
- Hands-on experience with big-data or distributed computing tools such as Spark and Databricks.
- Familiarity with visualisation tools such as Power BI, Tableau, or Plotly.
Key Competencies
- Strong analytical and conceptual thinking.
- Excellent communication and data-storytelling capabilities.
- Effective collaboration and stakeholder-engagement skills.
- High attention to detail and commitment to data accuracy.
- Continuous learning mindset and openness to new techniques and technologies.
Data Scientist - Renewable Energy in Selby employer: Advanced Resource Managers Limited
Contact Detail:
Advanced Resource Managers Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Renewable Energy in Selby
✨Network Like a Pro
Get out there and connect with folks in the renewable energy sector! Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Data Scientist gig.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects, especially those related to energy. Use platforms like GitHub to share your code and visualisations. This will give potential employers a taste of what you can do!
✨Ace the Interview
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as storytelling is key in communicating insights. Remember, they want to see how you think!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also means we’re here to support you every step of the way in your job search!
We think you need these skills to ace Data Scientist - Renewable Energy in Selby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the energy sector and data science. 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 tell us why you’re the perfect fit for this Data Scientist role. Share your passion for renewable energy and how your background can help us tackle business challenges with data.
Showcase Your Technical Skills: We’re looking for proficiency in Python or R, along with experience in machine learning techniques. Be sure to mention specific tools and libraries you’ve used, as well as any cloud platforms you’re familiar with!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Advanced Resource Managers Limited
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python or R. Be ready to discuss your experience with machine learning techniques and how you've applied them in the energy sector. They’ll want to see that you can not only build models but also explain their impact on business outcomes.
✨Showcase Your Industry Knowledge
Since this role is in renewable energy, it’s crucial to demonstrate your understanding of the power generation and trading industry. Prepare examples of how you've used data science to solve real-world problems in this field. This will show that you’re not just a tech whiz but also someone who understands the business context.
✨Communicate Like a Pro
You’ll need to convey complex data insights clearly. Practice telling a story with your data – think about how you can use visualisations and dashboards to make your points. Being able to translate technical findings into actionable business recommendations is key, so have some examples ready.
✨Collaborate and Engage
This role involves working closely with stakeholders and engineering teams. Be prepared to discuss how you’ve successfully collaborated in the past. Highlight your communication skills and your ability to engage with different teams to ensure your models are production-ready and effective.