Network Data Scientist

TL;DR

Network Data Scientist (Data Science): Developing advanced analytics and predictive models for large-scale network infrastructure with an accent on time series forecasting and operational optimization. Focus on building robust, scalable ML pipelines and clear data visualizations to translate complex findings into actionable business insights.

Location: Hybrid role based in London (Brick Lane office), United Kingdom.

Company

hirify.global is a leading media, entertainment, and telecommunications company providing broadband, mobile, and broadcast services to millions of customers.

What you will do

• Develop advanced analytics methods including predictive modeling and clustering algorithms.
• Analyze large-scale datasets to discover trends and optimize operational efficiency.
• Design experiments to improve customer experience and monitor model performance.
• Collaborate with cross-functional stakeholders to deliver relevant analytical solutions.
• Create interactive data visualizations using frameworks like Dash or Streamlit.
• Present complex findings to both technical and non-technical audiences.

Requirements

• Commercial experience delivering end-to-end data science projects from EDA to model deployment.
• Fluent in data manipulation and ML frameworks.
• Strong Python background with experience writing modular and maintainable code.
• Highly skilled in SQL for data exploration and reporting.
• Proficiency in building interactive data visualizations.
• Must be able to work in a hybrid model in London, UK.

Nice to have

• Prior exposure to time series forecasting.
• Experience working in Agile environments.

Culture & Benefits

• Access to hirify.global Q TV services and discounted mobile/broadband packages.
• Generous pension package and private healthcare coverage.
• Commitment to inclusion as a Disability Confident Employer.
• Hybrid working model with modern, vibrant office spaces in London.