- Experience in a data-intensive analytical role.
- Understanding of software engineering best practices in support of ML programming.
- Experience developing machine learning models.
- Ability to structure business problems for evaluation using data science techniques.
- Programming experience, preferably in Python, and familiarity with version control such as git.
- Technologies We Use :
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BI Data Modeler - Hampshire, United Kingdom - Ordnance Survey Limited
Description
Our growing Technology team plays a key role in ensuring OS is at the cutting edge of geospatial capability and is looking for people to join them.
Join the Ordnance Survey's Automatic Feature Extraction team as a Data Scientist and contribute to solving business and customer problems using machine-learning and data science techniques, particularly with Computer Vision.
Be part of a multidisciplinary production delivery team and actively engage in the analytical community at OS.We welcome applicants who have a passion for data and analytics. A degree in a quantitative discipline or experience in a relevant field.
Bonus Skills:
Understanding of software engineering best practices (TDD, CI, Clean Code, creating testable code, Design Patterns)
That's why our benefits package rewards a job well done. Performance related bonus
~ A competitive pension scheme
~ We embrace flexible working and can consider different working hours dependent on the role and your personal circumstances
~25 days annual leave - (30 days after five years) bank holidays and an extra 3 over Christmas
~ We embrace a hybrid working model where we believe the choice is with the individual on when they work from our fantastic office or from home
Closing date :
Sunday; We believe diversity and inclusion is about working together - in an encouraging and respectful environment to reach our full potential.
We believe combining different backgrounds, experiences and perspectives will help us reach our vision and be trusted and admired across the globe for setting the standards and leading the way.
