At a Glance
- Tasks: Unlock actionable insights from data to drive product strategy and enhance customer experiences.
- Company: Join a fast-growing AI company revolutionising customer support with innovative technology.
- Benefits: Enjoy competitive salary, equity, flexible holidays, and comprehensive health benefits.
- Other info: Collaborative hybrid work environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping products that improve customer interactions globally.
- Qualifications: 5+ years in data analysis, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 € per year.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support.
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing?
- You’ll partner with product teams to help them identify important questions and answer those questions with data.
- You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities.
- You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
- You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
- You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research.
- You’ll build and automate actionable models and dashboards.
- You’ll craft data stories and share your findings and recommendations across R&D and the broader company.
- You’ll drive and shape core RAD foundations and help us improve how the RAD org operates.
What skills do I need?
- 5 + years experience working with data to solve problems and drive evidence-based decisions.
- Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving.
- Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision.
- Excellent communication skills (technical and non-technical) and a focus on driving impact.
- Strong growth mindset and sense of ownership. Innate passion and curiosity.
- Experience with a scientific computing language (such as R or Python).
Bonus skills & attributes
- Experience with BI/Visualization tools like Tableau, Superset and Looker.
- Experience with data modeling and ETL pipelines.
- Experience working with product teams.
- Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication.
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
- Competitive salary and equity in a fast-growing start-up.
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
- Regular compensation reviews - we reward great work.
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
- Open vacation policy and flexible holidays so you can take time off when you need it.
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
- MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done.
#LI-HybridPolicies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Senior Data Scientist - Product Analytics in London employer: Fin
Fin is an exceptional employer that prioritises employee well-being and growth, offering competitive salaries, equity options, and a comprehensive benefits package including health insurance and flexible vacation policies. With a collaborative and inclusive work culture, employees are encouraged to innovate and contribute to meaningful projects that directly impact customer experiences, all while enjoying the flexibility of a hybrid working model in a dynamic and fast-growing environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Product Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Fin or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into Fin's products and values. Show us how your skills align with our mission to deliver impeccable customer experiences. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Practice your data storytelling! Be ready to explain your past projects and how they drove impact. We want to see how you can turn complex data into actionable insights that resonate with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team!
We think you need these skills to ace Senior Data Scientist - Product Analytics in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with data analytics, SQL skills, and any relevant projects that showcase your ability to drive evidence-based decisions.
Showcase Your Passion:We love seeing candidates who are genuinely excited about data science! Share examples of how your curiosity has led you to explore new insights or solve complex problems in your previous roles.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the job description. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Fin
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to have a solid grasp of data analysis and insights. Brush up on your SQL skills and be ready to discuss specific projects where you've used data to drive decisions. Prepare examples that showcase your analytical prowess and how it led to tangible outcomes.
✨Understand the Product and Its Users
Familiarise yourself with Fin's AI Customer Agent and how it enhances customer experiences. Think about how your role can impact product strategy and user satisfaction. Be prepared to discuss how you would approach understanding user needs through data and what metrics you would consider important.
✨Showcase Your Communication Skills
You'll need to convey complex data insights to both technical and non-technical stakeholders. Practice explaining your past analyses in simple terms and think about how you can craft compelling data stories. Highlight any experience you have in collaborating with product teams and how you’ve influenced decisions through your findings.
✨Demonstrate Your Growth Mindset
Fin values a strong growth mindset and ownership. Be ready to share instances where you've taken initiative or learned from challenges. Discuss how you stay updated with industry trends and tools, especially in AI and data science, and how you apply this knowledge to improve your work.