Lead/senior Data Scientist

Cisco UK

London, United Kingdom
Hybrid
Causal ai
Structural causal models
Python
We’re working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively

Job Summary

  • We’re working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively.
  • You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco’s Enterprise and Supply Chain functions.
  • Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential.

Matching Summary

We’re working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively.

Skills & Requirements

Must-have

  • Causal AI
  • structural causal models
  • Python
  • SQL
  • git version control
  • time series forecasting

Nice-to-have

  • global financial markets
  • macro-economics
  • micro-economics
  • econometrics
  • financial datasets
  • team leadership
  • project management

Key Requirements

  • 6+ years Advanced Analytics experience with Masters or 4+ years with PhD
  • Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field
  • Strong foundation in AI and machine learning
  • Expertise in Python
  • Advanced data analysis and data engineering skills
  • Experience with structured wrangling and mining
  • Excellent communication and storytelling skills

Work Rights

Not specified

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