Data Scientist Edinburgh, Scotland
Job description
Edinburgh, Scotland, United Kingdom
The Role
Are you passionate about data science? We have an exciting new dynamic role for a Data Scientist to join our growing Data and Analytics team! You will have the opportunity to combine data science with domain expertise to deliver impactful projects at InterGen. Working with Data Engineers, Developers, Traders and other stakeholders, you will be a key part in defining our data science projects that will help drive our business objectives.
The Team
It’s an exciting time to join our team as we are currently building out our Data Platform using Azure Databricks and Python to develop models and analytics that will support new vital trading insights. We’re also working on growing the data culture within InterGen to realise efficiency savings and optimisations through automation and scale that cloud data enables. This is a great opportunity to contribute to driving robust data solutions to power InterGen’s business operations.
We will give you the flexibility you need to do your best work with hybrid work options, where possible but ideally it would be great if you could be in our Edinburgh Office three days a week along with the rest of the Data and Analytics team. Our Edinburgh Office is a friendly and exciting environment enhanced with regular company-funded social events, seasonal gatherings and raising funds for our chosen charities.
Why you?
Our new Data Scientist will be extremely detail orientated with the ability to communicate and discuss data technologies and solution to non-technical stakeholders. As well as hands-on experience with Python, you will also have experience with a Python Data Science stack e.g., numpy/pandas/SciPy/Sci-Kit-Learn, Tensorflow). Our ideal candidate will have SQL knowledge and an active interest in personal development, like growing your own knowledge and keeping up with the latest changes.
It would also be great, but not essential if you have energy industry experience!
Your Qualifications/Experience
Education
- Educated to degree level, preferably in a scientific or numerical subject but as long as you can demonstrate an analytical approach and problem-solving ability, we will consider applicants with other relevant experience and degree backgrounds
Experience
- Experience working on Data Science projects in commercial or postgraduate academic settings (1+ years industrial or commercial work or corresponding experience)
What’s in it for you?
35 days holiday (includes bank holidays)- Discretionary bonus scheme
- Life Assurance
- Income Protection
- Pension Scheme
- Private Medical Insurance
- Health & Wellbeing Programs
- Company Sick Pay Scheme
- Eyecare Vouchers
- Savings Platform
- Maternity / Paternity benefits
- Educational Assistance Programmes
Why InterGen?
Whether you’re working from our Edinburgh office, remote location or at one of our Power Stations, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and teamwork are championed.
We welcome applications from all sections of the community, and you will help us foster a culture of equity, diversity and inclusion – a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes and help shape our culture.
We provide a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees. We are open to candidates wanting to work part-time or full-time, on a permanent or fixed term contract basis. We believe in each person’s potential and we’ll help you with yours by offering the development resources you need to advance your career.
With the strength of our company and reputation behind you, a culture of high-performance that motivates you and the freedom to drive your career your way, our shared purpose and values will inspire you to make an impact in an organisation whose vision is working towards a world with stable and dependable energy for generations.
