Senior ML Scientist: AI for Superior Customer Experience

intercom; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work policy

Career growth opportunities

Job summary

Fin, now part of Salesforce, is transforming customer experiences with AI-driven solutions. The ML team builds features that move from research to production, shipping fast to beta learners and customers alike.

The role focuses on identifying high-value ML problems, framing them for products, and collaborating across Product, Design, and Engineering to deliver robust, scalable ML products in a hybrid work environment in London.

Qualifications

• Broad applied machine learning knowledge.
• 3-5 years applied ML experience.
• Practical statistics knowledge (experimental design, confounding).
• Intermediate programming skills.
• Strong communication skills within engineering and across disciplines.
• Comfort with ambiguity.
• Typically have advanced education in ML or related field (e.g. MSc).
• Scientific thinking skills.

Responsibilities

• Identify areas where ML can create value for our customers.
• Define the ML framing of product problems.
• Collaborate with 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 push to cutting-edge when needed.
• Perform offline evaluation to validate models.
• Work with engineers to productionize prototypes.
• Plan, measure and socialize learnings for iteration.
• Partner with the team to build excellent ML products.

Skills

Applied ML

Experience 3-5 years

Statistics

Programming

Communication

Ambiguity tolerance

Advanced degree in ML

Scientific thinking

Education

MSc or higher in ML

Tools

Python

SQL

Matplotlib

Job description

Fin, now part of Salesforce, is transforming customer experiences with AI-driven solutions. The ML team builds features that move from research to production, shipping fast to beta learners and customers alike.

The role focuses on identifying high-value ML problems, framing them for products, and collaborating across Product, Design, and Engineering to deliver robust, scalable ML products in a hybrid work environment in London.