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Team: Data
Location: Any Scottish Enterprise office in Glasgow, Edinburgh, Dundee, or Aberdeen, with home-working options
Salary: £44,276 (pro rata if part time)
Hours: Full-time or part time with flexible working options
Status: Permanent
Closing date: 6 September 2023
Job ref no: R00459

Be part of building Scotland’s future

Join Scottish Enterprise’s Data and Analytics team as a data scientist, where your skills will be a key part of shaping a digital-first organisation. You’ll also play an important role in Scottish Enterprise’s future – one in which data will play an ever-increasing part.

As a key member of a small data team, you’ll be involved in a range of projects focused on collecting and analysing data. In particular, you’ll use your knowledge of Geographic Information Systems (GIS) to maintain spatial data and create data models and visualisations.

Your responsibilities will include:

• Acquiring, documenting, cleaning and updating datasets using application programming interfaces (APIs)
• Using GIS tools to produce visualisations from multiple datasets
• Supporting areas of the business in data collection and reporting tasks

You’re a confident communicator who leads projects. That means liaising directly with stakeholders to gather and refine requirements, and communicating technical information so that everyone understands. Complex challenges don’t faze you – you’ll be working across multiple project portfolios at once.

Your skills, abilities and experience should include:

• Applying analytical methods to reach accurate and reliable conclusions. This includes exploratory data analysis, statistical testing and data visualisation using RStudio, Power BI, and SQL Server Management Studio, and other Azure platform tools
• A working understanding of GIS and the ability to produce maps linked to data
• An understanding of cleaning and preparing data, the processes and tools involved, and putting reusable processes and checks in place. You can access and use a range of architectures (including cloud and on-premise), and other data manipulation and transformation tools
• Undertaking data profiling and source system analysis. You can present clear insights to colleagues to support the end use of data
• Designing, coding, testing, correcting and documenting simple programs or scripts

Ideally, but not essentially, you’ll also have:

• An understanding of the ethical implications of using data science in your projects
• A working knowledge of GDPR legislation

If successful, you'll gain access to the following benefits:

• Membership of the Scottish Enterprise Pension and Life Assurance Scheme – a pension based on your final pensionable salary, flexible retirement options and generous life assurance cover
• Up to 43 annual leave days a year (including public holidays) with the opportunity to buy additional holidays
• Flexible working arrangements
• A health cash plan
• Our Employee Retail Benefits Scheme
• Our Employee Assistance Scheme

If you're interested in this role, please complete your application form by Wednesday 6 September.

Interview dates:

• First interview: 13 September
• Second interview: 20 September

Being part of Scottish Enterprise means being open to new ideas and trying different ways of working. We support each other to reach our full potential. We celebrate shared success and learn together when things don’t go so well. And we always treat each other fairly, with respect and understanding. Together, we are the difference.

Apply now to keep building your future with us

At Scottish Enterprise, we’re proud to celebrate difference. Diversity of experience and thought is vital to the success of our vision for the future of every community across Scotland. As an equal opportunity employer, we actively encourage applicants from a wide range of individuals, irrespective of age, disability, gender reassignment, gender identity and expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation.

We commit to providing any reasonable adjustments required, not only during the application and assessment process but throughout employment with us.

We have the following networks which are open to all colleagues to help drive inclusion: Disability Positive, Gender Balanced, Multi-Cultural, Multi-Generational and Pride (LGBTQ+).