Python Job: Data Scientist

About the Role

Base Location: Flexible, however our preference is that you will be based in one of our key UK or Ireland sites, which includes but is not limited to:- Glasgow, Perth, Aberdeen, Inverness, Reading, Havant, London or Dublin

Salary: £39,400 - £59,000 depending on skills and experience + performance-related bonus + a range of other benefits to support your family, finances and wellbeing.

Working Pattern: Permanent | Full Time | Flexible First options available

The Digital Ventures team has a single mission - "to help everyone in the Renewables business to access and use the digital tools and services they need to be able to fly". We do this by driving cultural change towards a Digital first mindset, providing access to advanced data services, and taking a disruptive approach to innovation. Our entrepreneurial attitude is what sets us apart and allows us to try what others may fear to.

As a Data Scientist, you will join a multifunctional data team within Digital Ventures, with responsibility for designing, building, testing, deploying, and maintaining data science solutions. With your keen interest in renewable energy, you will help deliver a diverse range of digital solutions that employ state-of-the-art data science methods to support SSE Renewables’ ambitious growth plans.

Some of your main accountabilities will include;

• Define data science problems from business requirements and available data, and select appropriate algorithms, architectures, tools, and libraries.

• Proof of concept studies to establish capabilities, performance, and operability of data science solutions.

• Design, build, deploy, and maintain secure data science solutions, applying MLOps best practice for automation and monitoring.

• Undertake repeatable and documented exploratory data analysis using notebooks, validate tools, and present findings effectively using visualisations for dissemination.

• Maintain up-to-date knowledge of data science technologies, algorithms, libraries, and best practice.

What do I need?

To be considered for this role, we would love you to have:

• A degree in a STEM discipline with extensive experience working as a Data Scientist in a business context, or demonstrable equivalent experience within a highly data-literate role.

• The ability to create machine learning models using a variety of algorithms and deploy them in production environments.

• Proficiency in the Python programming language, and experience of software development and version control.

• Experience of using data analysis and visualisation toolkits, for example Jupyter notebooks, VS Code, or RStudio.

• The ability to build strong relationships, work effectively as part of a team, and the self-motivation to deliver solutions within project timescales, budget, and scope.

• A passion for digital innovation, and the confidence and self-motivation to propose and deliver solutions that challenge established ways of working.

What's in it for you?

An excellent package with 34 days holiday entitlement, enhanced maternity/paternity leave, discounted healthcare, salary sacrifice car leasing and much more, view our full benefits package on our careers site.

As an equal opportunity employer we encourage diversity and are committed to creating an inclusive environment for all employees. We actively encourage applicants from all protected characteristics and commit to providing any reasonable adjustments required during the application, assessment and upon joining SSE. Search for 'Inclusion & Diversity at SSE' to find out more.

Next Steps

All applications should be submitted online, and I'll be back in touch after the vacancy closing date to let you know the outcome.

If you would like to discuss any working differently requirements or adjustments you may require throughout the recruitment and selection process, please contact [email protected] / 01738 342002.

Before commencing employment with SSE, you'll be required to fully complete our pre-employment screening process consisting of a basic criminal records and credit check.

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