Data Scientist - Applied AI & Optimisation

ABOUT THE JOB You will join a growing AI team of 11 talented colleagues with a shared mission: transforming data and AI into measurable business value for Flatpay and our merchants. As a Senior Data Scientist, you will design, build, and productionize GenAI-powered products and pipelines that support business-critical decisions across the organization. A key area of focus will be customer-facing conversational AI, where creativity, strong product thinking, and a user-centred mindset are essential for developing cutting-edge solutions. In addition, you will work on AI-driven document, image, and audio processing systems that power critical business processes and analytics. You will collaborate closely with the broader AI team while taking strong ownership of complex projects and driving them from ideation to scalable production systems. This role is ideal for someone who enjoys solving complex, ambiguous problems with modern AI technologies and who has the technical judgment to turn ideas into robust, maintainable, and high-impact products. You will work across the entire AI product lifecycle — from data engineering and model development to deployment and user-facing applications — while helping set a high standard for applied machine learning, LLMs, and generative AI at Flatpay. We are looking for someone who thrives in a fast-moving environment, takes end-to-end ownership, and is comfortable engaging directly with stakeholders to identify opportunities, shape solutions, align technical direction with business needs, and continuously drive improvement. As a senior member of the team, you will also be expected to contribute to technical direction, raise the quality bar, and support the growth of those around you. WHAT YOU'LL DO * Design, build, and maintain production-grade GenAI applications and pipelines using Python, MLflow, Databricks, and leading AI platforms such as OpenAI, Anthropic, and Google. * Develop AI-powered solutions including customer-facing conversational AI, LLM-driven data enrichment and analytics workflows, and audio, image, and multimodal processing systems for both internal and customer-facing products. * Write clean, maintainable, and well-tested production Python code, including automated tests, monitoring, guardrails, validation frameworks, and fail-safe mechanisms to ensure reliability, security, and robustness in AI systems. * Build, orchestrate, and maintain data and AI workflows in Databricks, including pipelines, jobs, workflows, model serving endpoints, and custom applications deployed on the Databricks platform. * Leverage cloud platforms such as GCP, AWS, and Azure to provision, deploy, and scale AI services, including LLMs. * Integrate, optimize, and manage AI workflows that leverage external platforms and services, including tools such as ElevenLabs, Metabase, and other third-party providers. * Collaborate closely with data engineers to ensure AI products are built on reliable, scalable, and well-governed data foundations. * Drive complex projects from proof of concept through production deployment, monitoring, ongoing optimization, and business adoption. * Make technical design decisions, evaluate trade-offs, and help define best practices for building reliable, secure, and scalable AI systems. * Mentor and support other team members through code reviews, technical sparring, and sharing practical knowledge across AI engineering, machine learning, and production GenAI systems. WHO YOU ARE * You have 5+ years of industry experience in Data Science, Machine Learning, AI Engineering, or a similar technical role, with a strong track record of delivering production AI or ML systems. * You have hands-on experience building and maintaining customer-facing GenAI applications and pipelines in production and understand the importance of automated testing, monitoring, guardrails, and reliability in production AI systems. * You have experience using LLMs from multiple state-of-the-art providers of frontier and open-source models, and you have a deep understanding of the strengths and trade-offs of different frontier and open-source models. * You have strong experience building applications that leverage retrieval-augmented generation, tool calling, agents, or other modern LLM architectures. * You are highly comfortable developing production solutions in Python and working with libraries such as Transformers and the SDKs of leading LLM providers, including OpenAI, Anthropic, Google, and others. * You are comfortable working in Databricks or similar cloud-based data and AI platforms, including building pipelines, workflows, model serving endpoints, and production deployments. * You have strong PySpark, Pandas, and SQL skills and are comfortable working with large, structured datasets. * You are pragmatic and able to turn ambiguous business problems into concrete technical solutions, while helping stakeholders understand trade-offs and opportunities. * You are comfortable taking ownership of high-impact projects, working independently, and collaborating directly with stakeholders across the business. * You contribute positively to team standards, technical direction, and knowledge sharing, and you enjoy helping others become better at building high-quality AI systems. WHY FLATPAY? * Impact: Ship AI and data solutions that create real impact in one of Europe’s fastest-growing companies.  * Meaningful products: Build models that help merchants and colleagues make better decisions, act on insights, and improve workflows.  * Learning and growth: Develop across forecasting, production ML, data engineering, and AI in a supportive team.  * Flat structure: Flat structure and a strong action-over-process culture  * Competitive salary  * Vacation: 6 weeks paid  * Relaxed atmosphere with optional social events such as minigolf evenings, hackathons, and company parties in exciting off-site locations.  * Co-workers with a passion for data and AI, and a passion for sharing knowledge daily.  * Pension and health insurance, as well as almost unlimited company merch.

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. 40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste. We're more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions — such as our Retail Technologies offering — and influence legislation to help reduce food waste. WE'RE GROWING FAST: OUR COMMUNITY OF 120 MILLION REGISTERED USERS AND 180,000 ACTIVE PARTNERS ACROSS 20 COUNTRIES HAVE TOGETHER ALREADY PREVENTED 500+ MILLION MEALS FROM GOING TO WASTE  YOUR MISSION We are looking for a Centre of Excellence Lead to build and grow the data science and machine learning capability at the heart of our Data and Analytics organisation. The Centre of Excellence (CoE) brings together our Data Scientists and ML Engineers into a single, centralised team that partners with Product and business domains to solve our most important problems. As its Lead, you will own the team's technical direction, raise the bar on delivery and standards, and develop the people in it  while staying close enough to the work to coach hands-on. As a marketplace, many of our most critical challenges revolve around supply-demand dynamics, user behaviour, and marketplace efficiency. Your team works on problems such as personalisation, pricing, optimisation, and forecasting, helping us move from reactive analysis to proactive, model-driven systems. YOUR ROLE * Lead and grow the CoE team of Data Scientists and ML Engineers — owning performance management, coaching, hiring, and the development of each individual * Set and raise technical standards across the team, from problem framing and methodology through to experimentation, productionisation, and impact measurement * Stay hands-on as a player-coach — close enough to the technical work to guide design decisions, review approaches, and help unblock the team * Strengthen the DS↔ML handoff, ensuring models move from prototype to production reliably and that the two disciplines collaborate closely from the start of each initiative * Partner with Product and business leaders to identify high-impact opportunities where data science and ML can drive step-change improvements, and translate them into a focused team roadmap * Represent the CoE to Product, Engineering, and leadership stakeholders, making the case for where and how advanced methods create the most value * Partner with the People team to define the capability framework for the data science and ML domain * Champion the responsible use of AI within the team's ways of working, advocating for best practices and integrating new tools where they add genuine value REQUIREMENTS * Solid experience leading technical teams of a similar size (around 5 people), including performance management and developing engineers or scientists * A strong technical foundation in data science or machine learning — you have done the technical work yourself and can credibly coach it * Comfortable across both disciplines: you don't need to have managed both Data Scientists and ML Engineers, but you should have enough fluency in each to set direction and earn the team's trust * Track record of delivering ML or DS work that reached production and created measurable business or product impact * Strong grounding in experimentation (A/B testing), measurement, and impact evaluation * Experience with applied problems such as personalisation/recommendation, optimisation, pricing, or forecasting * A pragmatic, current view on AI  its maturity, where it adds value, and how to integrate it responsibly into a team's workflow * Strong stakeholder and communication skills — able to influence Product, Engineering, and business leaders * Comfort operating in a fast-paced, evolving environment with a high degree of ownership * Fluent in English, with excellent written and verbal communication skills OUR VALUES * We win together: Food waste is a big beast to fight. We believe in a #oneteam. * We raise the bar: We always push for more. We work smart, smash barriers and elevate one another. * We keep it simple: Our ambitions are bold but our solutions are simple. * We build a legacy: We're proud of the change we're driving. * We care: We always look out for each other. Caring is also about the way we do business. We do the right thing. WHAT WE HAVE TO OFFER * An opportunity to work in a global social-impact company and certified B Corporation, where you can see a real and tangible impact in your role. * The chance to build and lead a centralised data science and ML capability from an early stage, shaping how advanced methods drive decisions across the company. * Work-life balance is important to us! Focus on the job to be done, not the hours spent — there is no need for overtime. * We trust our employees and encourage an autonomous environment with several opportunities to contribute, develop, and take ownership. * To be part of an international company, with over 1,200+ colleagues across 20 countries on the same important mission. * An informal environment, working alongside 170+ passionate people within Tech & Product. * We celebrate our differences and our successes and have a strong values-driven team culture. * We work in a hybrid set-up (4 days per week in our Copenhagen office) and value in-office work weekly. * We may be able to support you with a working visa in Copenhagen, please be prepared to discuss this topic further at your first-stage interview. HOW TO APPLY * We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and international media to get a good overview of Too Good To Go. * Submit your CV in English. * Please note that we only accept applications coming through our platform. No CV will be accepted by email or LinkedIn direct messaging.   A Movement for Everyone We want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong. We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.