Senior Data Scientist Amsterdam, Copenhagen HQ, Lisbon, London, Madrid, Stockholm

With our product, Pleo is challenging outdated norms in the business spend industry by trusting employees to make purchases on the company's behalf -- no more expense reports or out of pocket spending. This puts trust in employees so that they can buy what they need when they need it. Future of work stuff, you know?

But let us introduce you to the team this role will be part of:

The Strategy & Commercial Effectiveness team sits within the Revenue Operations domain, to empower the commercial teams through transformational strategic initiatives that drive significant, repeatable, lasting commercial impact. This is a multi-competency “10x” Team focussed on driving, building and executing a fresh approach to delighting customers via our commercial product and workforce, helping Pleo chart a path to profitability. The goal is to deliver at the CAG-level to support all customer segments and across the Pleo lifecycle.

What Great Looks Like In This Role

- Be part of the team that unlocks commercial growth and commercial effectiveness and enables 300+ internal stakeholders.
- Pave the way for Data Science at Pleo; establish methodologies for building machine learning (ML) models that help us deliver exceptional experiences to our customers and drive our revenue and user growth.
- You autonomously tackle complex problems with a solution-driven and pragmatic approach.
- You translate business problems into technical challenges, and take ownership in designing and executing the solutions.
- You effectively collaborate with stakeholders across different competencies, teams and domains, and enable these stakeholders to develop data-inspired products and solutions.
- Demonstrate innovative thinking by exploring diverse data sources (internal and external) to improve the predictive power of your models.
- You are an ambassador for excellence within the Data & Analytics community, you lead by example, share your knowledge, and inspire others.

Your Responsibilities

- Collaborate closely with multiple stakeholders, including business leaders, to understand their objectives and requirements. Lead the scoping, design, and development phases to create tailored, data-inspired solutions.
- Conduct quantitative research to inform the team’s strategy and identify opportunities for improvement. Devise learning methods, including experiments, to test hypotheses and enhance our understanding of the commercial landscape.
- Understand, identify, and leverage data sources across Pleo, encompassing both internal data and external data that can be utilized for building models.
- Build, monitor and optimize the performance of ML models, focusing on a long-term strategy to continuously improve the end-user experience.
- Translate complex data into actionable insights and effectively communicate technical work and findings to diverse audiences, ranging from sales teams to leadership teams.
- Take ownership of complex projects, serving as the technical lead and ensuring successful execution from inception to delivery, and be the primary interface between the data & analytics team and the other team members.
- Provide mentorship and guidance to other data & analytics team members, fostering a collaborative and learning-oriented environment within the data & analytics team.
- Stay abreast of advancements in ML and artificial intelligence, exploring opportunities to implement cutting-edge technologies in product development.

Your Colleagues Say You:

- Are self-sufficient, solution-driven, and love to see the impact of your work and team.
- Have excellent hands-on knowledge of SQL + Python/R and experience with more advanced analytics topics such as cohort and regression analysis.
- Expertise in applying data science within product teams to optimize features and user experiences. Demonstrate a track record of designing automated solutions with ML, particularly in the context of in-product decisions that align with business goals, ideally within the financial services industry.
- You have experience and comprehensive knowledge in machine learning (ML), covering a range of algorithms and techniques, including but not limited to the selection of appropriate models, tuning of hyperparameters, and rigorous evaluation of model performance. Are familiar with at least one cloud platform (GCP/AWS/Azure) and acquainted with ML Ops practices.
- Take proactive ownership, exhibit adaptability in problem-solving, and demonstrate authentic leadership with a commitment to radical candour.

Show me the benefits

- Your own Pleo card (no more out-of-pocket spending)
- Lunch is on us - with catering in our Lisbon, Copenhagen and London offices or a monthly lunch allowance paid directly together with your salary in other markets.
- Private health insurance to ensure you’re fit in body and mind to do your best work.
- We offer 25 days of holiday + your public holidays.
- We offer flexibility/remote working options.
- Option to purchase 5 additional days of holiday through a salary sacrifice.
- We’re trialing MyndUp to give our employees access to free mental health and well-being support with great success so far.
- Access to LinkedIn Learning - acquire new skills, stay abreast of industry trends, and fuel your personal and professional development continuously.
- Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work.

Why join us?

Working at Pleo means you're working on something very exciting: the future of work. Our mission is to help every company go beyond the books. Pleo itself means ‘more than you’d expect’, and it’s been the secret to our success over the last 8 years. So it’s only fitting that we’d pass this philosophy onto our customers to help them make the most of their finances.

We think company spending should be delegated to all employees and teams, that it should be as automated as possible, and that it should drive a culture of responsible spending. Finance teams shouldn’t be siloed from the rest of the organisation – they should work in unity with marketing, sales, IT and everyone else.

Speaking of working in unity, our values tell the story of how we work at Pleo. We have four core values, the first of which is ‘champion the customer’, which means we address real pain points that businesses face. Next up is ‘succeed as a team’, which highlights how our strength lies in our diversity and trust in each other. We also ‘make it happen’ by taking bold decisions and following through to deliver results. Last but not least, we ‘build to scale’, creating lasting solutions that address today’s challenges and anticipate tomorrow’s needs.

So, in a nutshell, that's Pleo. Today we are a 850+ team, from over 100 nations, sitting in our Copenhagen HQ, London, Stockholm, Berlin, Madrid, Montreal and Lisbon offices —and quite a few full-time remotes in 35 other countries Being HQ'd out of Copenhagen means we're inspired by things like a good work-life balance. If you don't work in the office with us, we'll help you set up the best remote setup possible and make sure you still have time to connect with your team.

About your application

- Please submit your application in English; it’s our company language so you’ll be speaking lots of it if you join.
- We treat all candidates equally: If you are interested please apply through our application system - any correspondence should come from there Our lovely support isn't able to pass on any calls/ emails our way - and this makes sure that the candidate experience is smooth and fair to everyone.
- We’re on a mission to make everyone feel valued at work. That’s only achievable if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs.
- When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.

We’re looking for new friends, gifted minds, team players, restless talents and passionate problem solvers.

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