Posted by employer 1 year ago
First seen on Joblaze 6 months ago
Last verified on the company career page 23 hours ago
Skills & Technologies
Requirements
- Experience
- 3–5 years
- Education
- Master's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Machine Learning Scientist at Fin will focus on identifying opportunities for machine learning to enhance customer value and collaborating with cross-functional teams to develop and deploy innovative solutions. The position requires a strong foundation in applied machine learning, practical statistics, and programming, along with excellent communication skills. Ideal candidates typically have 3-5 years of experience in the field, with advanced education in machine learning or a related discipline. Fin's product-driven environment emphasizes rapid prototyping and real-world impact, making it suitable for those passionate about applying cutting-edge technology.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on Intercom's careers page October 31, 2026.
- This exact title is also open at 2 other locations at Intercom: Berlin, Germany, Dublin, Ireland.
- AI/ML appears in 42.3% of 52 comparable senior ai/ml roles in United Kingdom; Deep Learning appears in 3.8% of 52 comparable senior ai/ml roles in United Kingdom.
Quick facts
- Is the Senior Machine Learning Scientist role remote?
- It's hybrid — Intercom expects some on-site time in London, England.
- How much experience is required?
- 3–5 years of relevant experience for this Senior Machine Learning Scientist role.
- Where is the role based?
- Intercom is hiring for this position in London, England.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Bayesian methods, Deep Learning, Machine Learning, NLP, SQL.
- What seniority level is this role?
- Intercom targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Machine Learning Scientist role at Intercom.
From the original posting
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
What's the opportunity?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
- Identify areas where ML can create value for our customers
- Identify the right ML framing of product problems
- Working 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
- Being pragmatic, but innovating right 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
What skills might I need?
- 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
Bonus skills & attributes
- 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.
Unleash Your Potential
Standard company text repeated across Intercom's postings is omitted here.