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- A competitive pension scheme
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- 25 days annual leave - (30 days after five years) bank holidays and an extra 3 over Christmas
- Plus, a suite of excellent additional benefits
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Data Scientist - Southampton, United Kingdom - Ordnance Survey
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. Its mission is to work across the business to provide customer centric design and technology services.
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.
Who We're Looking For
We welcome applicants who have a passion for data and analytics. If you have some or all of the following skills and experiences, we'd love to hear from you:
● A degree in a quantitative discipline or experience in a relevant field.
● Experience in a data-intensive analytical role.
● Strong mathematical and programming skills.
● Understanding of software engineering best practices in support of ML programming.
● Customer-focused with strong presentation skills.
● Understanding of descriptive, predictive and prescriptive analytics.
● 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.
Bonus Skills: While not required, the following skills would be a plus:
● Understanding of software engineering best practices (TDD, CI, Clean Code, creating testable code, Design Patterns)
● Experience mentoring or advocating best practice to team members.
Technologies We Use: Python (including Data Science libraries such as NumPy, Pandas, Matplotlib, PyTorch), AzureML, QGIS. Our wider team also uses Esri ArcPro and geoprocessing tools, FME, Bicep, Azure Batch, Azure Pipelines, YAML, SQL.
Remember, you don't need to tick every box to apply. We value diverse experiences and perspectives and encourage applications from all backgrounds. Join us and contribute to our mission
The rewards
We want you to love what you do. That's why our benefits package rewards a job well done. We'll give you:
Location
OSHQ is based in Southampton, Hampshire but at OS we believe work is something you do, not somewhere you go. 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. We want to continue to be an inclusive employer and recognise that one size doesn't necessarily fit all.
Closing date: Sunday; 12 May, 2024
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.
We are looking for passionate people from a range of backgrounds and welcome applications from any race, age, gender, background or religion.
We're individually talented and collectively powerful, and we give you the space to take your career in whichever direction you want.