Senior Data Scientist

Intercom
London
3 weeks ago
Create job alert

What's the opportunity? The Research, Analytics &Data Science (RAD) team at Intercom uses data and insights to driveevidence-based decision-making. We're a team of data scientists andproduct researchers who use data — both big and small — to unlockactionable insights about our customers, our products, and ourbusiness. We generate insights that build customer empathy, driveproduct strategy, and shape products that deliver real value to ourcustomers. If you get really excited about asking the rightquestions, exploring patterns in data, and surfacing actionableinsights that drive strategic decisions, then this role is for you.Data Scientists in RAD partner with teams across R&D to helpIntercom make sense of our users, our products, and our business,using metrics and data. This role will enable you to drive key dataprojects that directly impact our customers and millions of endusers who communicate via our messaging platform daily. What will Ibe doing? - You’ll partner with product teams to help them identifyimportant questions and answer those questions with data. - You’llwork closely with product managers, designers, and engineers todevelop key product success metrics, to set targets, to measureresults and outcomes, and to size opportunities. - You’ll design,build, and update end-to-end data pipelines, working closely withstakeholders to drive the collection of new data and the refinementof existing data sources and tables. - You’ll partner closely withproduct researchers to build a holistic understanding of ourcustomers, our products, and our business. - You’ll influence ourproduct roadmap and product strategy through experimentation,exploratory analysis, and quantitative research. - You’ll build andautomate actionable models and dashboards. - You’ll craft datastories and share your findings and recommendations across R&Dand the broader company. - You’ll drive and shape core RADfoundations and help us improve how the RAD org operates. Whatskills do I need? - 5 + years experience working with data to solveproblems and drive evidence-based decisions. - Excellent SQL skillsand good knowledge of statistics. - Proven track record ofinitiating and delivering actionable analysis and insights thatdrives tangible impact with minimal supervision. - Excellentcommunication skills (technical and non-technical) and a focus ondriving impact. - Strong growth mindset and sense of ownership.Innate passion and curiosity. Bonus skills & attributes -Experience with a scientific computing language (such as R orPython). - Experience with BI/Visualization tools like Tableau,Superset, and Looker. - Experience with data modeling and ETLpipelines. - Experience working with product teams. Benefits We area well-treated bunch, with awesome benefits! If there’s somethingimportant to you that’s not on this list, talk to us! - Competitivesalary and equity in a fast-growing start-up. - We serve lunchevery weekday, plus a variety of snack foods and a fully stockedkitchen. - Regular compensation reviews - we reward great work. -Peace of mind with life assurance, as well as comprehensive healthand dental insurance for you and your dependents. - Open vacationpolicy and flexible holidays so you can take time off when you needit. - Paid maternity leave, as well as 6 weeks paternity leave forfathers, to let you spend valuable time with your loved ones. -MacBooks are our standard, but we’re happy to get you whateverequipment helps you get your job done.#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist – Machine Learning -  Defence –Eligible for SC

Senior Data Scientist (Quant)

Senior Data Scientist London, England

Senior Data Scientist, MAPLE - Recommender System

Senior Data Scientist - B2B

Senior Data Scientist(Commerce)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.