Decisions Scientist

at  UK Power Networks

Reference Number - 79695
This Decisions Scientist will report to the Analytics and Dev Ops Lead and will work within the Information Systems directorate based in our London office. You will be a permanent employee.
You will attract a salary of £65,000.00 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
25 Days Annual Leave plus bank holidays
Personal Pension Plan – Personal contribution rates of 4% or 5% (UK Power Networks will make a corresponding contribution of 8% or 10%)
Tenancy Loan Deposit scheme
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.

REQUIREMENTS:

Experience
You will have a background in data science and analytics, in utilities or non-utilities discipline
Project experience in Python is necessary
Experience with R, SQL, pyspark, Databricks, Plotly Dash, and PowerBI is an advantage but not essential
Experience in strategic thinking and synthesising analytical outputs for business actions, such as from working with senior leaders or from management consulting
Experience collaborating with diverse teams translating data insights into relevant recommendations
Qualifications
Bachelor’s degree or above in STEM
Health & Safety Responsibilities
Managers and supervisors carry both legal and company responsibilities for ensuring the health and safety of their employees, those under their control and those who might be affected by the work undertaken, i.e. public, visitors and employees of other organisations. This includes briefing individuals working for them and ensuring there is the necessary understanding, competence and application of requirements to work safely and without harming the environment.
Employees will ensure they understand the health and safety risks involved in their work activities and their responsibility to apply the controls needed to manage those risks to acceptable levels. Similarly where work activities can have an adverse impact upon the environment, and where there are legal requirements, employees will understand those impacts and the controls they must ensure are applied.
If in doubt ask!
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

ROLE OVERVIEW:

You will help use data to guide strategic decisions and operational improvements across UK Power Networks. You will develop and apply advanced analytical models and tools to address important challenges and enhance our services. Your work will directly affect our ability to accelerate low carbon technology (LCT) connections, optimize asset investment strategies, and improve our response times during power outages.
Roles like this, with great potential to learn, working with a supporting and experienced team, backed at the highest levels of an organisation with an effective free reign, do not come up very often. So we’re looking for the right fit for the team – eagerness to improve and be the best, tenacity with a smile, real pride in the quality of work, and an understanding that ‘how’ you work is just as important as ‘what’ you’re working on.

KEY RESPONSIBILITIES:

Build trust and collaborate with other teams: Work with multiple directorates to understand their goals, challenges, 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 experiences with data analytics
Develop Insights and Tools: Create advanced analytical models and tools to extract actionable insights from complex datasets. Ensure these solutions are practical, scalable, and aligned with our goals. Main tools for delivery are Databricks (insights) and Plotly Dash (apps), and we work mainly in Python.
Maintain Infrastructure: Oversee the ongoing maintenance and enhancement of analytics infrastructure to ensure reliable performance and continuous improvement of our tools and systems.