79254 -Mid Python Developer

This Mid Python Developer will report to the DSO Data Science & Development Manager and will work within the DSO based in our London office. You will be a permanent employee.

You will attract a salary dependent on your experience 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:03/10/2024.

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.

THE TEAM YOU WILL JOIN:

You will join the DSO Data Science and Development Team which comprises of a Data Science & Development Manager, a Data Scientist, a Machine Learning Operations Engineer, a Developer and a Network Model Power Systems Intern.

We have access to a large amount of network data and our job is to use that data to obtain insights that create benefits for our customers and facilitate the transition to Net Zero.

As an example, we recently designed, built, and deployed a machine learning model to forecast demand and generation across network assets, such as solar and wind farms. These forecasts were transformed into a frontend tool that our DSO colleagues in the control room could use to improve how we spend money and reduce the impact of power outages on our customers. Forecasting is one of many ongoing workstreams with multiple use cases for under development.

The team works across all the DSO teams like a service. We listen to the needs of our colleagues and see if we can build software and tools to enhance their goals.

Our main responsibilities include accountability for the data provision strategy, making sure we listen to the data needs of our customers and provide that through our Open Data Portal, building software and tools that allow new opportunities for the business, automating tasks that take up a lot of our colleagues' time, and discovering insights from our existing data.

PRINCIPAL ACCOUNTABILITIES:

Python product development

• Success of the DSO Data Science & Developments team within UK Power networks requires the scoping, design and often the deployment of python products.
• Understand and implement the software development lifecycle is critical to deploying products relating to national critical infrastructure.

Product management

• A critical part of the DSO Data Science & Development Team's role is to design and deploy products that benefit either our internal or external partners. These products must meet certain standards which requires careful product management.
• The successful Product Manager will help design product roadmaps and track their progress. This includes important aspects such as creating and implementing safety policy, considering the wide impact products can potentially have on the network.

IT & Architecture

• There are many real-world problems immediately affecting operations at UK Power Networks. In collaboration with your new colleagues in the DSO Data Science & Development Team, you will develop the tools needed to address these topics.
• Our products require a lot of support from the IT department. You will have knowledge of computer science and IT concepts.

Efficiency

• There are many opportunities to apply your skills to projects within the company. Our goal is to provide the best possible service in the most efficient way. Using your domain expertise and partner engagement skills, identifying future opportunities is imperative.

Qualifications:

Experience:

• Expertise with Python and software development cycle regarding python.
• Advanced working with Git and Github, with experience working with python web applications.
• Experience contributing to code projects with multiple contributors using git versioning.
• Working knowledge of fundamental data science concepts, machine learning, artificial intelligence
• High IT competency, cloud-based environments, version control, programming languages, data pipelines, data exploration, data visualisation (static, interactive), code scalability.
• Experience managing a product with experience in project work and professional development
• Practised in producing production ready code with appropriate testing, redundancies, error messaging.

Qualifications:

• Essential: Degree level qualification in computer science or similar, or demonstrated equivalent experience in industry.

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.