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- Tasks: As a Junior Decisions Scientist, you'll analyze data to drive strategic decisions and improve operations.
- Company: Join UK Power Networks, a leader in electricity distribution serving over 8 million customers.
- Benefits: Enjoy blended working, a personal pension plan, tax-efficient benefits, and discounts on retail products.
- Why this job: Be part of a dynamic analytics team making a real impact in the energy sector while growing professionally.
- Qualifications: Degree in a numerate discipline; experience with analytical projects or scientific analysis is preferred.
- Other info: This role offers a salary of £25,000 plus a 7.5% bonus, with opportunities for learning and development.
The predicted salary is between 25000 - 35000 £ per year.
This Junior Decisions Scientist will report to the Senior Decision Sciences Manager and will work within the Strategy & Regulation and Support Services directorate based in our London office. You will be a permanent employee.
You will attract a salary of £25,000.00 and a bonus of 7.5%. This role can also offer blended working after probationary period (6 months) – 3 days in the office and 2 remote.
Close Date: 17/11/2024
We also provide the following additional benefits:
- Personal Pension Plan – Personal contribution rates of 4% or 5% (UK Power Networks will make a corresponding contribution of 8% or 10%)
- Tax efficient benefits: cycle to work scheme
- Season ticket loan
- Occupational Health support
- Switched On – scheme providing discount on hundreds of retailers products.
- Discounted access to sports and social clubs
- Employee Assistance Programme.
About UK Power Networks:
UK Power Networks is a leading electricity distribution network operator, responsible for delivering electricity to over 8 million customers across London, the South East, and East Anglia. Our mission is to provide a safe, reliable, and efficient supply of electricity while allowing the transition to a low-carbon economy.
About the Analytics Team:
Our Analytics team is an important part of UK Power Networks, collaborating with all directorates to lead data-related innovations. We are close knit, supportive, dynamic, work in agile ways, big on feedback and driven to constantly improve and do better. Our mandate is to be a supportive, challenging friend to the business, thinking creatively, to bring new approaches, methods and ways of thinking to some of the industry’s biggest problems.
Role Overview:
You will help use data to guide strategic decisions and operational improvements across UK Power Networks. You will develop advanced analytical models and tools to address important challenges and enhance our services.
Key Responsibilities:
- Build trust and collaborate with other teams: Work with multiple directorates to understand their goals and analytics needs. Agree on the vision and scope of analytics projects to provide tailored solutions. Get involved in the upskilling of other teams with less experience with data analytics.
- Develop Insights and Tools: Create advanced analytical models and tools to extract relevant insights from complex datasets. Ensure these solutions are practical, scalable, and aligned with our goals.
- Maintain Infrastructure: Oversee the ongoing maintenance and enhancement of analytics infrastructure to ensure reliable performance and continuous improvement of our tools and systems.
- Drive Impact: Contribute to important projects such as accelerating LCT connections, optimizing asset investments, and improving response times.
What We Offer:
- Innovation and Impact: Be part of a forward-thinking team that is driving innovation and making a tangible difference in the energy sector.
- Professional Growth: Opportunities for learning and development within a supportive work environment.
Requirements:
- Experience: You will have experience with analytical decision sciences or straight from university with experience of scientific analysis.
- Qualifications: Degree educated in a numerate discipline; track record in delivering analytical projects or open innovation projects.
- Skills: At least one of PowerBi, Python, R, Tableau.
Health & Safety Responsibilities: Managers and supervisors carry both legal and company responsibilities for ensuring the health and safety of their employees. Employees will ensure they understand the health and safety risks involved in their work activities.
We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
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Junior Decisions Scientist employer: UK Power Networks
Contact Detail:
UK Power Networks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Decisions Scientist
✨Tip Number 1
Familiarize yourself with the key responsibilities of the Junior Decisions Scientist role. Understanding how to build trust and collaborate with other teams will be crucial, so think about examples from your past experiences where you've successfully worked in a team setting.
✨Tip Number 2
Since the role involves developing advanced analytical models, brush up on your skills in PowerBi, Python, R, or Tableau. Consider working on a small project or case study that showcases your ability to extract insights from complex datasets.
✨Tip Number 3
Research UK Power Networks and their mission to transition to a low-carbon economy. Being able to discuss how your analytical skills can contribute to this mission during the interview will demonstrate your genuine interest in the company and its goals.
✨Tip Number 4
Prepare to discuss your experience with analytical decision sciences, whether from previous jobs or university projects. Highlight specific challenges you faced and how you overcame them using data-driven approaches, as this aligns well with the role's focus on driving impact.
We think you need these skills to ace Junior Decisions Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Junior Decisions Scientist position. Understand the key responsibilities and required skills, especially in analytical decision sciences and tools like PowerBi, Python, R, or Tableau.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the role. Emphasize any projects or coursework related to data analytics and decision-making processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and how you can contribute to UK Power Networks. Mention specific examples of past experiences where you successfully used analytical tools to drive decisions.
Highlight Team Collaboration Skills: Since the role involves working closely with multiple directorates, make sure to include examples of your teamwork and collaboration skills in your application. Show how you can build trust and work effectively with others.
How to prepare for a job interview at UK Power Networks
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Junior Decisions Scientist role. Familiarize yourself with the key responsibilities, such as building trust with other teams and developing analytical models. This will help you articulate how your skills align with their needs.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with analytical tools like PowerBi, Python, R, or Tableau. Be ready to provide examples of projects where you've successfully applied these skills to solve problems or improve processes.
✨Demonstrate Collaboration and Communication
Since the role involves working closely with multiple directorates, highlight your ability to collaborate and communicate effectively. Share examples of how you've worked in teams to achieve common goals or upskilled others in data analytics.
✨Express Your Passion for Innovation
UK Power Networks values innovation and impact. Be prepared to discuss your interest in driving change within the energy sector and how you can contribute to their mission of transitioning to a low-carbon economy.
