We are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!

About the role

The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.

To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.

What you'll be doing

As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:

• Developing and deploying production-level ML models
• Crafting metrics to unlock deeper insights into merchant selection quality for all markets
• Conducting experiments to understand the impact of selection on specific markets
• Work on self-serve tooling to track these insights.

This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.

Our humble expectations

• 3-5 years of experience in data science, consulting, or a related quantitative role
• Fluent in Python & SQL
• Strong exploratory data analysis skills, willingness to look under the hood
• Exposure to experimental design (A/B testing) and key statistical methods
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
• Determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Innate curiosity to understand how things work and a first-principles approach to problem solving

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. 
• You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙 
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! 

For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

About Consumer Analytics at Wolt 

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

About the Consumer Data Science Team

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

What you’ll be doing

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. 

If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you.

Our humble expectations

• 3+ years of experience in an analytics or data science position
• Experience working with product funnels and user journeys
• Proficiency in SQL and Python
• Hands-on experience in designing and analysing A/B testing
• Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

About the Consumer Pricing and Discounts Domain

The Consumer Pricing and Discounts Data Science team is committed to consumer-first pricing and discounts that are fair, transparent, and compliant. We create innovative pricing & discounts solutions that offer clear value for our consumers with a focus on affordability. We collaborate cross-functionally to achieve both short-term and long-term business goals, balancing topline impact with bottom-line profitability tradeoff. Our team of Data Scientists partners closely with the Strategy & Operations business team as well as Product & Engineering, conducting experiments, advanced analytical data exploration, algorithmic modelling and operational reporting to enhance our consumer pricing & incentives strategies.

What you’ll be doing

As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. This role is a great fit for a versatile generalist who can bridge pricing and growth initiatives, connecting the dots across functions to drive business impact. It suits someone who thrives in a cross-functional environment, brings strong business judgment, and can balance priorities within a dynamic team. The position plays a key role in shaping strategy while keeping execution aligned with broader objectives.

The scope spans the full lifecycle - from research and discovery to modelling and experimentation. Responsibilities include defining success through clear measurement frameworks, identifying business opportunities, and tracking performance via reporting. It’s an opportunity to turn insights into action and influence outcomes.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar
• Strong business acumen and ability to connect analytical work (models, research, frameworks) to real business impact

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You can choose the location from our tech hubs in Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Finland or Sweden. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

The Courier Analytics Team at Wolt focuses on solving complex delivery-related logistical and operational challenges, and our objective is to improve Wolt’s logistics efficiency while delivering an exceptional delivery experience for all parties in our 3-sided marketplace.

Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. On the Courier team, we are particularly focused on optimising routing and task assignment efficiency,  predicting delivery times with higher accuracy, and aiming for a flawless delivery experience for both our couriers and customers to boost retention. 

We achieve this by ensuring Courier Group’s product development is rooted in experimentation with the primary goal of delivering impactful results rather than sole features.  By analytical deep-dives, impact estimation, and delving deep into observational data to expose hidden trends and untapped opportunities, our Data Scientists serve as objective advisors, helping to decipher the 'why' behind the data, thereby enabling smarter decisions that align with our overall business strategy. 

What you’ll be doing

• Take Ownership: Drive the Logistics analytics topics within Courier Analytics, becoming the go-to expert in this critical area.
• Drive Experiment-Guided Product Development: Serve as the catalyst for analytical deep-dives and controlled experiments that illuminate Wolt's complex marketplace dynamics and causal chains.
• Champion Statistical Rigour and a Data-Driven Mindset: Serve as an internal advocate for the crucial role of statistical rigour in data analysis. Your advocacy will foster a culture where data isn't just used, but used wisely, reinforcing the integrity of our decision-making processes.
• Collaborate Across Teams: Work closely with cross-functional teams, including Product, Design, Engineering, and Operations, to integrate data-driven decision-making into their workflows.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R, and AI IDE tools
• Hands-on experience in designing and analysing A/B testing, coupled with knowledge of quasi-experimental methodologies
• A strong grasp of core concepts and models for causal inference, enabling you to expose complex cause-and-effect relationships within data
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

We’re looking for a Staff ML Algorithm Scientist to join our Future Physiology team. This role focuses on advancing Oura’s capabilities in multimodal sensing and data integration, combining signals from multiple biosensing pathways to develop richer physiological insights. You’ll work hands-on with experimental sensing systems, exploring new signal sources, specifying and testing prototypes, and helping shape the next generation of health sensing at Oura.

• Location: Finland, we have offices in Oulu & Helsinki

What You will do: 

• Develop and refine signal processing algorithms for multimodal biosignals (e.g., PPG, motion, temperature,  and related physiological modalities).
  
  
• Design end-to-end methods for signal fusion, from signal cleaning and multimodal data integration to modeling and validation.
  
  
• Collaborate with hardware, firmware, and software engineering teams to understand sensing system performance and optimize data pipelines.
  
  
• Work hands-on with prototype sensors, evaluation kits, and SDKs to explore new data channels, assess feasibility, and validate algorithmic approaches.
  
  
• Explore the relationship between physical signals and physiological states, identifying new opportunities for insight generation.
  
  
• Translate complex technical concepts and data-driven insights into clear, compelling narratives for senior and executive stakeholders, supporting strategic decision-making and roadmap alignment.
  
  

We would love to consider You for this role if You have:

• 7+ years of experience in biosignal processing, sensor fusion, deep learning and multimodal data integration and analysis.
  
  
• Proficiency in Python and scientific computing libraries (NumPy, SciPy, pandas, matplotlib).
  
  
• Deep understanding of physiological systems and time-series data analysis.
  
  
• Strong practical experience working with sensor hardware, prototypes, or evaluation environments.
  
  
• Advanced degree (MSc/PhD) in Biomedical Engineering, Signal Processing, machine learning, voice based health sensing or related field.
  
  
• Experience designing algorithms that perform robustly in noisy, real-world conditions.
  
  
• Experience influencing technical and product strategy by clearly communicating data-driven insights to senior leadership.

Benefits:

• A competitive salary and equity packages
• Lunch, Culture and Wellness benefits
• Flexible working hours + work-life balance
• Collaborative, smart teammates and innovative environment
• An Oura ring of your own + employee discount for friends and family
• Wellness Time Off: Eight extra days time-off per year to devote to personal wellness

If this sound like an opportunity for you, apply as soon as possible but latest May 10, 2026.

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for Data Science and the marketing space, this team is for you!

As a Senior Data Scientist, you’ll:

• Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability.
• Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production.
• Work with a large span of datasets from image to video to audio to text to structured performance data. 
• Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes.
• You’ll work alongside our stellar data scientists, senior machine learning engineers, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 5+ years of experience in data science or applied machine learning
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Strong foundation in linear algebra, statistics, and calculus
• Fluent in Python; experience with C++ or Java is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-OK #LI-Hybrid

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for Data Science and the marketing space, this team is for you!

As a Senior Data Scientist, you’ll:

• Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability.
• Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production.
• Work with a large span of datasets from image to video to audio to text to structured performance data. 
• Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes.
• You’ll work alongside our stellar data scientists, senior machine learning engineers, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 5+ years of experience in data science or applied machine learning
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Strong foundation in linear algebra, statistics, and calculus
• Fluent in Python; experience with C++ or Java is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-OK #LI-Hybrid

Oura’s engineering organization consists of talented developers distributed across the EU and US. For day-to-day feature work, our engineers are organized into smaller cross-functional teams. Our teams have a great deal of autonomy and are responsible for the design, development and architecture of their features. Teams take full ownership of their code and handle everything from concepting, design and implementation to release, maintenance and bug fixes. 

About the role

The Health Intelligence team is at the forefront of integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data. We are building the next generation of AI-powered health guidance at Oura, blending traditional ML with modern LLMs, reasoning systems, and robust evaluation - not as “chatbots with vibes,” but as rigorously evaluated components that explain decisions, surface trade-offs, and adapt member journeys over months and years.

We’re looking for an Engineering Manager with a strong backend or data science background who is already acting as a team lead or de‑facto lead and wants to grow on the managerial track while still staying partially hands-on.

In this role you will:

• Lead a multi-disciplinary group of Senior AI Engineers and Senior AI Scientists working on LLM-backed workflows, evaluation pipelines, personalization logic, and intervention models.
• Split your time between people leadership and delivery (majority) and hands-on contributions (e.g., technical design reviews, code or experiment work, prototyping, debugging) where it helps unblock the team or de‑risk a problem.
• Partner closely with product, data, and science leadership to ensure we build AI that is grounded in data, constrained by guardrails, and measured by outcomes and behavior change – not just engagement metrics.

This is a great fit for someone who has been a tech lead / lead engineer / lead data scientist, enjoys coaching others and coordinating complex work, and now wants to formalize that into an Engineering Manager role without giving up all contact with the code and models.

What you will do

You don’t need to do all of these on day one, but these are the kinds of problems you’ll own:

• Lead and grow a high-performing AI engineering team: Manage, coach, and develop a group of AI Engineers and Scientists working on LLMs, applied ML, evaluation, and behavior/health modeling.
• Act as a “player‑coach” for AI initiatives: Focus primarily on people leadership and coordination while occasionally contributing hands-on to design reviews, code/experiment work, and prototyping to de‑risk and unblock.
• Own delivery for critical AI work in Health Intelligence: Drive planning, scoping, and execution for Advisor, Adaptive Insights, notifications, and related AI features with clear milestones and predictable delivery.
• Create a strong partnership model across product, science, and engineering: Align people around shared problem definitions, success metrics, and evaluation strategies.
• Provide technical leadership and guardrails: Stay close enough to the technical and scientific work to support sound decisions and guide trade-offs between complexity, cost, latency, and long-term maintainability.
• Shape how we evaluate and operate AI systems in production: Ensure robust evaluation, monitoring, incident response, and continuous improvement practices for LLM- and ML-powered workflows.
• Foster healthy, sustainable ways of working: Build a team culture that balances ambition with sustainability, clear priorities, psychological safety, and a growth mindset.

Requirements

We’d love to hear from you if you have:

• 5+ years of experience as a backend engineer or data scientist shipping production systems used by real users.
• 1–3 years as a tech lead or de‑facto lead coordinating work and mentoring others, with a clear interest in moving into formal people management.
• Practical exposure to ML or LLM-powered systems and comfort working closely with scientists and ML engineers on real product problems.
• Demonstrated ability to own cross-functional projects end‑to‑end from problem framing through rollout and follow-up iteration.
• Strong written and verbal communication skills, able to align engineers, scientists, and product partners and explain trade-offs clearly.
• Desire to spend most time on people leadership and coordination while keeping a smaller, well-defined slice for high-leverage hands-on work.
• Comfort operating in a fast-changing AI/LLM landscape, learning continuously, and keeping member safety and value at the center.

Would be a benefit

You don’t need all of these, but they’re strong signals of fit:

• Experience managing or informally leading multi-disciplinary groups that include both engineers and scientists.
• Background in AI / LLM-backed products, including evaluation/guardrails.
• Experience in digital health, wearables, or behavior change products, where long-term engagement and outcomes matter more than short-term clicks.
• Prior work integrating ML models into production systems, including partnering with data science/ML teams on interfaces, deployment, and monitoring.
• Experience leading or participating in distributed teams across countries and time zones, and comfort with asynchronous communication.

What we offer

• Competitive salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• Collaborative, smart teammates
• An Oura ring of your own
• Wellness Time Off

If this sounds like the next step for you, please send us your application and CV as soon as possible. We aim to start interviewing as soon as suitable candidates are found.