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Careers at intercom Inc,.
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Senior Machine Learning Scientist

Full Time
full time
30 Sep 2025
London

About the job

• Identify areas where ML can create value for our customers
• Identify the right ML framing of product problems
• Work with teammates and Product and Design stakeholders
• Conduct exploratory data analysis and research
• Deeply understand the problem area
• Research and identify the right algorithms and tools
• Be pragmatic, but innovate to the cutting-edge when needed
• Perform offline evaluation to gather evidence an algorithm will work
• Work with engineers to bring prototypes to production
• Plan, measure & socialize learnings to inform iteration
• Partner deeply with the rest of team, and others, to build excellent ML products
• Move prototypes to beta and measure real customer impact

Requirements

  • Broad applied machine learning knowledge
  • 3-5 years applied ML experience
  • Practical stats knowledge (experiment design, dealing with confounding etc)
  • Intermediate programming skills
  • Strong communication skills, both within engineering teams and across disciplines.
  • Comfort with ambiguity
  • Typically have advanced education in ML or related field (e.g. MSc)
  • Scientific thinking skills
  • Track record shipping ML products
  • PhD or other experience in a research environment
  • Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
  • Strong stats or math background
  • Visualization, data skills, SQL, matplotlib, etc.

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

  • machine learning
  • applied ML
  • statistical knowledge
  • programming
  • NLP
  • deep learning
  • Bayesian methods
  • reinforcement learning
  • clustering
  • data visualization

Soft Skills

  • communication
  • scientific thinking
  • comfort with ambiguity
  • collaboration
  • problem-solving
  • innovation
  • pragmatism
  • iteration
  • research skills
  • customer impact measurement

Certifications & Qualifications

  • MSc in ML or related field
  • PhD in ML or related field

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