Jefferson Frank are working with a trusted client, who are building an advanced cloud analytics platform and utilise a variety of data sources ranging from IOT sensor data, geospatial, weather, lidar, fault & maintenance, to telematics and use advanced supporting technologies including GIS systems and PAAS machine learning services.
The data science team sits within the wider data & analytics team, which includes our analytic development teams, data architects, cloud DevOps engineers, lead management, data management and portfolio management.
Strong programming skills.
Python (Pandas, Numpy, PySpark, Jupyter, etc...) advantageous
Advanced interactive data visualisation for understanding large, complex, or high-dimensional data.
Tableau or equivalent is a plus.
Fluency with SQL
Artificial Intelligence / cognitive services
Deep Learning (e.g. Tensorflow/Keras)
Automated descriptive analytics
Geospatial data science / visualization
Azure or similar cloud experience
Azure ML Services or similar PAAS ML
Experience with NoSQL
Graph database experience
Experience in decision augmentation/automation an advantage. e.g. Heuristic Optimization/ Reinforcement Learning, etc
Work in agile teams delivering proof of concepts directly with the business
Build state of the art models and data visualizations.
Interpret and effectively communicate insights to the business and senior executives.
Deliver actionable advice to our leadership teams.
Collaborate with our cloud development, data engineering & DevOps teams
Advise on appropriate technical solutions to business problems
If you'd like to learn more about the opportunity, please get in touch with or call:
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