Data Science, Python development and automation in the area of Network Analytics
Explore data through the application of statistical methods in order to extract actionable insights
Generate reports and presentations to communicate findings to clients and stakeholders
You will work closely with client stakeholders as well as with our data engineers using agile development methodology
Design, develop, test and operate end-to-end ML pipelines to tackle tasks such as prediction, classification and recommendation
Servicing and maintaining ML models through appropriate frameworks on the cloud.
Sometimes a name is more than just a name.
Extensive training opportunities
Structured career progression - at Reply we encourage career growth and we will give you the tools and guidance to achieve subject matter expertise and management capabilities
Diverse and vibrant work environment – you will be surrounded by like-minded peers who share your passion about data and technology
Opportunities to get involved in Hackathons, Code Challenges or Labcamps. Your education doesn’t need to stop here! Reply prides itself on continuously exploring emerging technologies
Opportunity to work on projects with some of the world’s leading brands.
A degree with a minimum of a 2:1 classification in IT/Computer Science, ideally with specialisation in Data Science, Machine Learning or Artificial Intelligence.
Proficiency in maths (multivariable calculus, linear algebra, statistics, probability, matrix transformations)
Experience with Python (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, TensorFlow)
Practical/Theoretical knowledge of Data Science and Machine Learning
Practical/Theoretical knowledge of IP Networking
Interest in analytics and automation.
About NET Reply
Net Reply is the Reply Company focused on Networks and Security. With an agile and collaborative approach we partner with our clients to ensure their network ecosystem is ready to exploit the opportunities of Digitalisation, IOT and Cloud by harnessing the power of Automation and Future Networking