At a Glance
- Tasks: Develop a data-driven model to predict energy usage for UK homes using machine learning.
- Company: Join Newcastle University and One Utility Bill, leaders in innovative education and utility solutions.
- Benefits: Enjoy a £4,000 training budget, 25 days annual leave, and access to university resources.
- Other info: Collaborate with experts and gain valuable project management experience in a supportive environment.
- Why this job: Make a real impact on energy management while enhancing your skills and career prospects.
- Qualifications: Degree in statistics, data science, or related field; ideally a higher degree.
The predicted salary is between 30000 - 40000 £ per year.
Newcastle University is a world-class UK University, advancing knowledge, providing creative solutions and solving global problems. Newcastle University in Singapore has been providing top-quality degrees in Singapore for over a decade and has graduated more than 1,000 students. We deliver jointly awarded undergraduate Newcastle University degrees with Singapore Institute of Technology in various engineering disciplines. At Newcastle Research and Innovation Institute, we provide postgraduate education and training with MScs in Electrical Power Engineering, Energy and Sustainability, Marine Technology and Process Safety and Risk Management as well as research degrees (PhD, MPhil).
The Role
One Utility Bill Limited and Newcastle University are offering an exciting opportunity to develop a data-driven software model that accurately predicts the energy usage for every residential property in the UK - for use in utility bill management. The modelling will utilise time series analysis and machine learning methods. One Utility Bill simplifies household billing with transparent, bundled utility packages for renters and homeowners.
Based at One Utility Bill, you will be supported by an interdisciplinary team from Newcastle University, led by Prof. Hongsheng Dai, who has expertise in statistical methodology and applications. You will also be supported by a senior supervisor from One Utility Bill, with expertise in financial control.
Key Tasks:
- Anomaly and outlier detection using advanced statistical techniques.
- Develop and apply statistical models under a Bayesian framework and machine learning models to forecast energy usage at the household level.
- Develop advanced forecasting algorithms by incorporating external variables, missing data and heterogeneous data patterns.
- Translate outputs into pricing strategies.
- Disseminate findings through reports, research papers and conferences.
- Work with colleagues in One Utility Bill to successfully integrate a range of data sources and developed algorithms into a single platform.
- Communicate high-level technical concepts to non-specialists.
The Person
Knowledge, Skills, and Experience:
- Strong theoretical and applied knowledge in time series analysis.
- Strong theoretical and applied knowledge in Bayesian inference and computational statistics.
- Good theoretical and applied knowledge in artificial intelligence and statistical learning models.
- Knowledge in data engineering.
- Excellent experience in R/Python programming.
Desirable:
- Strong foundation in theoretical statistics.
- Knowledge of optimisation.
- Experience of project management.
Attributes and Behaviour:
- Excellent organisational and planning skills.
- The ability to work to deadlines.
- The ability to work independently and collaboratively.
- Strong interpersonal skills.
- Good attention to detail.
- A natural problem solver.
- Excellent verbal, written and presentation skills.
Qualifications / Experience:
- A first degree in statistics, data science, computer science, mathematics or a related discipline.
- A higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence.
To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position. Newcastle University is committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity and celebrate the contributions of all of our employees and the communities they represent.
Data Scientist (KTP Associate) employer: Newcastle University
Newcastle University is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a KTP Associate, you will benefit from a generous personal training budget, access to university resources, and the opportunity to develop both technical and managerial skills while working closely with industry leaders at One Utility Bill. With a strong commitment to diversity and inclusion, Newcastle University provides a supportive culture that encourages professional growth and the potential for permanent employment after your fixed-term contract.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (KTP Associate)
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving time series analysis and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and your specific skills. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in the role and the company.
We think you need these skills to ace Data Scientist (KTP Associate)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience in statistics, data science, and machine learning. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this position. Use it to showcase your passion for data science and how your background aligns with our goals at Newcastle University and One Utility Bill.
Showcase Your Technical Skills:Don’t forget to mention your programming skills in R or Python! We’re keen on seeing how you’ve applied these in real-world scenarios, especially in time series analysis and machine learning.
Follow Application Guidelines:Make sure to follow the application guidelines closely. Attach your CV and cover letter in one file, and keep the total size under 10MB. Applying through our website is the best way to ensure we receive your application!
How to prepare for a job interview at Newcastle University
✨Know Your Stats
Brush up on your theoretical and applied knowledge in time series analysis and Bayesian inference. Be ready to discuss how you've used these techniques in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Programming Skills
Make sure you can confidently talk about your experience with R or Python. Prepare examples of how you've used these programming languages for data analysis or machine learning tasks, as this is crucial for the position.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might be asked to communicate findings to non-specialists, so demonstrating your ability to bridge that gap will impress the interviewers.
✨Prepare Questions
Think of insightful questions to ask about the role and the team at One Utility Bill. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
