---
title: 'Data Scientist at Chattermill Analytics Limited'
canonical: 'https://feeny.ai/job/data-scientist-chattermill-analytics-limited-united-kingdom-gmwy9ts48akf'
type: 'job'
last_seen: '2026-09-08'
---

# Data Scientist at Chattermill Analytics Limited

- **Company:** Chattermill Analytics Limited
- **Location:** United Kingdom
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-03
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/chattermill/ee76441a-6929-406a-bd89-1b854ff7d4bc

## Job description

Data Scientist

🌍 UK (Remote or Hybrid, it’s up to you!)

💰 Dependent on experience

📈 Be part of our success with the opportunity to join our company equity scheme

🦸‍♀️ The Role 🦸‍♀️

Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.

We're hiring a Data Scientist to join the team and help build and ship the next generation of that stack.

👉 What you'll be doing:

Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will:

- Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom fine-tuning pipelines and running experiments with rigour and clear documentation.
- Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation — with support and guidance from senior team members.
- Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality across classification, extraction, and generative tasks.
- Work on semantic search and retrieval, developing a strong working understanding of embedding-based approaches and the methods that go beyond them.
- Write clean, well-tested code and collaborate with Engineering on model integration, data pipelines, and monitoring.
- Work with the wider Data Science team to translate business and product requirements into practical ML experiments and solutions.
- Stay close to relevant research and bring useful ideas from the literature into team discussions and experiments.

🧰 What you’ll need:

- A solid working knowledge of transformer architectures and how they are applied in NLP tasks.
- Proficiency in PyTorch, including training loops and standard model fine-tuning workflows; exposure to parameter-efficient techniques such as LoRA is a plus.
- Experience working with real-world text data across tasks such as classification, extraction, embeddings, or search — at a meaningful scale.
- Some exposure to instruction fine-tuning or model serving, with an interest in going deeper.
- A grounding in classical ML and statistics, and the instinct to reach for simpler methods when warranted.
- Familiarity with GenAI and agentic patterns, even if hands-on production experience is still developing.
- Clear communication skills and the ability to explain technical work to colleagues across functions.
- Genuine curiosity about AI and a habit of experimenting — you learn by doing.
- Good ownership instincts: you follow problems through rather than passing them on.

➕It would be a bonus if you:

- MSc in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a closely related STEM field.

🔎 Our Hiring Process

1. Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step.
2. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience.
3. Show us how you work – you'll complete a short take home assignment
4. Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams.
5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth.

Our Perks

🤸🏽‍♂️ Flexibility & Work Setup

- Flexible working in a choice-first environment - we trust the way you want to work!
- Work-from-home allowance to set up your ideal workspace

🌴 Time Off

- 25 days holiday + local bank holidays, plus an extra day for each year of service
- Your birthday off

🌱 Growth & Ownership

- Annual learning & development budget to support your growth (increasing over time)
- Equity options — share in the company’s success

💚 Health & Wellbeing

- Monthly health & wellbeing budget, increasing with length of service
- Optional private healthcare plan
- Life assurance & income protection (location dependent)
- Employee Assistance Programme (location dependent) for extra support when you need it
- Enhanced family leave (location dependent), plus fertility and neonatal leave

🌆 Office Perks

- If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace

💖 Our Values

- We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.
- We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.
- We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.
- We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.
- We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.
- We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today!

🌈 Diversity & Inclusion 🌈

We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team.  We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!

#machinelearning #machinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch #datascientist

## About Chattermill Analytics Limited

## Company Overview
- **One-liner**: Chattermill is an AI-native customer experience intelligence platform that unifies fragmented customer feedback and surfaces actionable insights. [chattermill.com](https://chattermill.com/)
- **Entity Type**: Private – Series B funded (total funding $38.1M) [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Headquarters**: London, United Kingdom [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Founded**: 2015 [Crunchbase](https://www.crunchbase.com/organization/chattermill)
- **Founders**: Dmitry Isupov (CEO & Co-founder) and Mikhail Dubov (Chief Strategy & Insights Officer and Co-founder) [chattermill.com/about](https://chattermill.com/about)

## Core Business
- **Primary industry**: Customer Experience (CX) Analytics / Voice of Customer (VOC) Software / AI-driven Feedback Analysis
- **Target customers**: B2B – Customer Experience teams, Product & UX teams, Support & Operations teams at fast-growing brands and established enterprises [chattermill.com](https://chattermill.com/)
- **Mission**: “To empower teams to see their customer reality” and help businesses turn every piece of feedback into insights that influence their most important metrics. [chattermill.com/about](https://chattermill.com/about)

## Products & Services
- **Lyra AI**: Cutting-edge AI agent that delivers strategic and precision insights, allowing users to ask questions in natural language and get answers backed by customer quotes. [chattermill.com](https://chattermill.com/)
- **Chattermill MCP**: Enables querying, analyzing, and acting on feedback directly from AI assistants like Claude and ChatGPT. [chattermill.com](https://chattermill.com/)
- **Feedback Unification Platform**: Centralizes feedback from surveys (Qualtrics, etc.), support tickets (Zendesk, Intercom), online reviews (Trustpilot), social media, and voice call transcripts into one view. [chattermill.com](https://chattermill.com/)
- **Automated Alerting & Integrations**: Slack alerts for metric changes, auto-creation of Jira tickets with customer quotes, and 50+ native integrations plus an API/MCP for custom connections. [chattermill.com](https://chattermill.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**: 
  - Annual Revenue: $3.5M (LinkedIn estimate) [LinkedIn](https://uk.linkedin.com/company/chattermill)
  - Total Funding: $38.1M across 5 rounds [Crunchbase](https://www.crunchbase.com/organization/chattermill)
  - Series B (Dec 2022): $26M led by Beringea, with participation from DN Capital and others [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Notable Investors/Partners**: DN Capital (led Series A), Beringea (led Series B), Entrepreneurs First, Avonmore Developments [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Growth Signals**: Used by Uber, HelloFresh, Wise, and other customer-centric companies; operates in 11 countries; headcount of 63 employees (though -2.7% YoY); active job postings up 300% year-over-year. [chattermill.com/about](https://chattermill.com/about) [LinkedIn](https://uk.linkedin.com/company/chattermill)

## Competitive Advantages
- **AI-native deep learning**: Originally built on deep learning to automate manual CX analysis, now extends to agentic AI (Lyra, MCP). [chattermill.com](https://chattermill.com/)
- **Unmatched accuracy and precision**: Lyra AI claimed to deliver “strategic and precision insights with unmatched accuracy.” [chattermill.com](https://chattermill.com/)
- **Enterprise-grade security**: SOC2 Type II and ISO 27001:2022 certified; fully GDPR and CCPA compliant. [chattermill.com](https://chattermill.com/)
- **No per-user pricing**: Unlimited users included, encouraging organization-wide adoption. [chattermill.com](https://chattermill.com/)
- **Broad integration ecosystem**: 50+ native connectors plus MCP server for AI agent interoperability. [chattermill.com](https://chattermill.com/)

## Strategic Focus
- **Current priorities**: Scaling AI analysis to process over a billion pieces of feedback for clients by 2027; deepening agentic capabilities (MCP, Lyra copilot); expanding integrations and enterprise adoption. [chattermill.com](https://chattermill.com/)
- **Direction for growth**: Continue to be “the single source of customer truth” and align CX insights directly with business goals across all teams. [chattermill.com](https://chattermill.com/)

## Why Work Here
- **Culture highlights**: Values include “Learn & Develop,” “Grow With Us,” “Work Flex,” “Family,” and “Take Care.” Emphasis on career progression and working with “other A-players.” [chattermill.com/careers](https://chattermill.com/careers)
- **Remote/hybrid policy**: Remote-first environment with a “very fun office in London” for those who want to go in. [chattermill.com/careers](https://chattermill.com/careers)
- **Notable perks**:
  - Yearly learning & development budget that increases with tenure
  - Stock options to share in company success
  - 25 days holiday plus public holidays (extra day each year of service)
  - Monthly health & wellness allowance (increases with tenure)
  - Work-from-home allowance for home office setup
  - Enhanced parental leave, neonatal leave, and fertility support
  - Open roles include Senior Machine Learning Scientist, Senior Backend Engineer, Senior Data Scientist, and XLG Programme Manager [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Engineering culture**: Technical team of 16 (22% of workforce) plus 8 in Research (11%), suggesting strong investment in AI/ML. [LinkedIn](https://uk.linkedin.com/company/chattermill)

## Sources
1. [chattermill.com](https://chattermill.com/) – Official product and feature descriptions
2. [chattermill.com/about](https://chattermill.com/about) – Company history, founders, mission, investors
3. [chattermill.com/careers](https://chattermill.com/careers) – Culture, values, perks, open roles
4. [LinkedIn](https://uk.linkedin.com/company/chattermill) – Employee count, revenue, funding rounds, headcount breakdown
5. [Crunchbase](https://www.crunchbase.com/organization/chattermill) – Legal name, founding date, contact info

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