Ipsos North America

Senior Data Scientist – OOH Route

Ipsos North America

full-time

Posted on:

Location Type: Hybrid

Location: LondonUnited Kingdom

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Job Level

About the role

  • Work in a data science team and alongside data engineering, data operations, product management, and domain experts
  • Take ownership of key product areas
  • Engage and communicate with stakeholders
  • Develop and deliver a market leading synthetic population solution
  • Manipulate complex data from various sources
  • Develop machine learning models
  • Advise product team and stakeholders on data usage and communicate methodology and results

Requirements

  • Strong background in location, geospatial data
  • Expertise in R
  • Expertise in Python
  • Expertise in SQL
  • Expertise in Google Cloud Platform
  • Academic background in Physics and Mathematics
  • Experience with cloud computing environments such as GCP, AWS, and Azure
  • Experience in git for collaborative development of data science workflows/products through DevOps
  • Knowledge in supervised and unsupervised learning, simulation, optimisation, graph theory, and model validation
  • Strong intuition for data including statistical and machine learning principles
  • Tenacity in problem solving with emphasis on perseverance and scientific method
  • Competence in using multiple data sources and wrangling complex data
  • Previous line reporting experience
  • Desire to develop as a people leader
  • Comfortable in line managing and organizing workload of the team
Benefits
  • 25 days annual leave
  • Pension contribution
  • Income protection
  • Life assurance
  • Health & wellbeing benefits
  • Financial benefits
  • Professional development opportunities
  • Flexible working applications
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
RPythonSQLmachine learninggeospatial datacloud computingdata wranglingsimulationoptimisationgraph theory
Soft Skills
problem solvingcommunicationstakeholder engagementtenacityleadershipteam managementorganizational skillsperseverancedata intuitionmethodology communication