Your Role

We're hiring a Senior Data Scientist to join our Athlete Performance team in London. You'll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensors, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams.

For this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona. 

As a Senior Data Scientist, you’ll:

• Create and improve algorithms. You'll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification, turning raw data into actionable insights for our users.
• Deliver insights at scale. You'll build and deploy models that provide contextualized data to sports scientists, coaches and recruiters.
• Collaborate across teams. You'll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards.
• Lead high-impact projects. You'll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl.

Must-Haves

• Strong mathematical background. You're highly skilled in statistical operations and physics-based calculations used to analyze large datasets.
• Proven track record. You've built, maintained and monitored complex AI or ML models in a production environment at scale. You have experience with model observability and managing data drift to ensure long-term performance. You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes. You have a background in biomechanical modeling and signal processing.
• Multi-modal time series expertise. You have demonstrable experience working with multi-modal time series data for deep learning-based analysis and forecasting, and can apply these techniques to derive meaningful insights from complex sensor data streams.
• Product-focused. You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes.

Nice-to-Haves

• Wearable and GPS expertise. You have experience working with wearable devices, IMU sensors, GPS tracking and biometric data.
• Subject matter expertise. You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes.
• Knowledge of foundational models. You have experience fine-tuning visual or large language models for new domains.
• Real-time systems experience. You're comfortable working with models designed for low-latency environments.
• Advanced degree. A PhD in biometrics, mathematics or a related field is a plus.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us💫.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

Our platform generates vast amounts of data. With a mature infrastructure already in place and a growing team, the opportunities to make a tangible impact are endless. As a Data Scientist, you will improve marketplace dynamics by working on end-to-end ML solutions—from data gathering and prototyping to deployment and iteration.

As a Data Scientist in the Wallapop you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as improving models that power users' main interaction point:  Search.  You will also look into various models that will help users discover new items through ranked Recommendations, Similar Items, and more.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop’s Data and ML Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

What You Will Do👇

• Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
• Develop and implement machine learning models to solve business problems, such as personalized recommendations and search.
• Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
• Own initiatives from start to deployment:  ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration (w/ help from Engineering partners)
• Proactively suggest, research and prototype new ideas for data and ML solutions.
• Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We’re Looking For 🔍

• Experience working with Search, recommendations & Ranking models in production environments

• Problem-Solving Core: A degree in a quantitative field (Engineering, Math, Stats, Physics) or equivalent practical experience in data science.

• Software Mindset: Proficiency in Python and the ability to write clean, maintainable code for ML applications.

• Production Experience: A proven track record of building and deploying data products that solve business challenges in a production environment.

• Data Fluency: Advanced SQL skills and experience handling large datasets (knowledge of libraries like Pandas or Scikit-learn is highly valued).

• Growth Orientation: A desire to learn new technologies and an ability to adapt your technical approach to the problem at hand.

• Algorithmic Foundation: Solid understanding of Machine Learning fundamentals, specifically as they apply to personalization or recommender systems (e.g., collaborative filtering, content-based filtering, or deep learning for embeddings).

What Would Be A Plus 🚀 

• Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
• Experience working within the Logistics, Trust & Safety or Customer Service domains.
• Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly product advantages (Wallapop Club)
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.

Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. 

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

The Community You Will Join:

The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.

The Difference You will Make:

This role is not eligible for relocation support.

As an Acquisition Lead for EMEA, will be entrusted with designing, deploying, and optimizing the host acquisition strategy across EMEA markets. You will lead a growing team of acquisition specialists, coordinate cross-functional efforts, and ensure we hit ambitious growth targets across the region. Your leadership will be critical to scaling our supply footprint and maximizing the impact of every acquisition channel — from FTEs and vendors to paid and organic marketing.

A Typical Day: 

Your day to day activities will be focused on accelerating our acquisition efforts, meeting our goals for New Active Listings on the platform. To reach those objectives, there are several important activities to be performed: 

• Define and own the acquisition strategy for each EMEA market, in close partnership with the Regional Director, Territory Managers and cross-functional partners, ensuring alignment with regional and market-level goals.
• Deploy the strategy across all acquisition channels, ensuring consistent execution across FTE teams, external vendors, paid marketing, and organic acquisition efforts.
• Lead and manage a team of 5–6 FTE acquisition specialists spread across key EMEA countries and markets, setting clear targets, coaching for performance, and maximizing productivity and impact.
• Coordinate acquisition efforts cross-functionally, partnering with Account Management, Marketing, Operations, and other teams to ensure a cohesive approach to supply growth.
• Monitor, review, and analyze acquisition performance across markets and channels, identifying gaps and taking swift corrective actions to keep results on track.
• Report on progress and insights to the Regional EMEA Director, providing data-driven recommendations to refine strategy and resource allocation.

Your Expertise:

• 10+ years of experience in acquisition, business development, sales, or growth roles, ideally within a tech, marketplace, or platform business.
• Proven track record of designing and executing multi-market acquisition or growth strategies across diverse geographies, with a strong preference for EMEA experience.
• 5+ years of people management experience, including leading distributed or remote teams across multiple countries and cultures.

Core Skills

• Commercial acumen — Deep understanding of commercial levers, market dynamics, and how to build and scale acquisition engines that deliver measurable business results.
• Negotiation skills — Strong ability to negotiate with internal and external stakeholders, including vendors, partners, and cross-functional leaders, to drive alignment and outcomes.
• Team & performance management — Demonstrated ability to build, inspire, and manage high-performing teams; skilled at setting goals, coaching talent, and holding teams accountable to deliver results.
• Analytical mindset — Comfortable working with data and analytics tools to assess performance, identify trends, and make data-driven decisions. You don't need to be a data scientist, but you should be able to interrogate data, build dashboards, and translate insights into action.
• Cross-functional coordination — Experience working across multiple teams and stakeholders (e.g., marketing, account management, vendors) to align efforts and maximize impact.
• Strategic thinking — Ability to see the big picture, prioritize effectively, and translate regional goals into actionable market-level plans.

Desirable Skills

• Experience working with external vendors or outsourced teams in an acquisition or sales context.
• Familiarity with paid marketing and organic growth channels as part of a broader acquisition mix.
• Experience in the travel, hospitality, or marketplace industry.
• Multilingual capabilities are a plus given the EMEA scope.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

About Skyscanner

Everyone loves travelling, but planning is not without its challenges. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily.

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all.

Our vision? To be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.)

About the role
(Hybrid)

• Building smarter recommendation systems: You’ll join the team behind the ML systems that help millions of travellers find the right hotel or rental car — and you’ll keep raising the bar on relevance, quality, and performance.
• Owning the full journey: From fuzzy product questions to crisp modelling goals, you’ll run initiatives end-to-end: define what “good” looks like, build models, ship them, and iterate based on what the world tells us.
• Working where it matters: You’ll partner closely with Product and Engineering to get production systems into travellers’ hands (not just into notebooks).

What you’ll be doing

• Improving ranking & recommendations: You will design, build, and iterate on production ranking and recommendation systems across Hotels and Cars.
• Turning ambiguity into objectives: You will translate open-ended product challenges into clear modelling goals and hypotheses.
• Defining meaningful success: You will set success metrics that balance user value with marketplace and business outcomes.
• Running rigorous evaluation: You will design and analyse online experiments and offline evaluations to understand real impact.
• Applying statistical & causal reasoning: You will use strong statistical foundations (and causal thinking where it counts) to make confident, responsible decisions.
• Shipping with partners: You will work hand-in-hand with Product and Engineering to deploy, monitor, and improve systems in production.
• Communicating to influence: You will explain complex trade-offs clearly and help shape roadmap decisions with evidence.

About you

• Production-tested: You have 2+ years’ experience as a Data Scientist working in a production environment.
• Applied ML experience: You’ve worked on real-world machine learning or applied data science problems (bonus points if you have worked on ranking/recommender problems).
• Strong fundamentals: You bring solid foundations in statistics, machine learning, or quantitative analysis, and, you know when to use which tool.
• Hands-on with Python & SQL: You’re comfortable building in Python and querying data with SQL.
• Team-friendly engineer mindset: You’re familiar with collaborative development practices like version control and code review.
• Structured problem-solver: You can take an ambiguous problem, break it down methodically, and move it forward without needing a perfect brief.
• Thoughtful evaluator: You care about robust evaluation, including fairness and reliability considerations.

What it's like here

We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans, building things that help travellers explore the world a little easier.

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.

Sound like your kind of adventure? Apply now and help us shape the future of travel.

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.

Scopely is looking for a Senior Data Scientist to join our Monopoly GO! game team in our Barcelona hub on a hybrid basis, or remotely in Spain or Portugal.

At Scopely, we care deeply about what we do and want to inspire play, every day. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

What You Will Do 

As a Senior Data Scientist, you will play a key role in supporting game growth by leveraging data to build innovative, player-centric solutions. You won't just analyze data; you will own the lifecycle of data products — from identifying a player pain point to deploying a production-level solution.

• Product Vision & Strategy: Partner with Product Managers and Stakeholders to identify high-value opportunities, helping to define the data science roadmap for the one of the world’s biggest mobile games.
• End-to-End Ownership: Own the process of creating new data products, from initial inception and requirement gathering to technical design, productionalization, and monitoring.
• Player Insights: Analyze player behavior to understand how features impact the game economy, progression, social dynamics, and sentiment.
• Advanced Modeling: Design and implement A/B tests, forecasting, clustering, and ML models that don't just "predict," but provide actionable "decision intelligence."
• Technical Excellence: Provide technical expertise throughout the product life cycle, ensuring high quality, scalability, and efficiency in our Data & Insights team.
• Collaborative Delivery: Work across departments (Product Analytics, Engineering, LiveOps, Marketing) to ensure data solutions are integrated and driving real-world impact for our players.

What We’re Looking For

We want a creative, highly motivated individual who enjoys tackling ambiguous problems and "figuring it out" with practical, scalable solutions.

• Product Mindset: Outstanding problem-solving skills with a "user-first" mentality. You can conceptualize player behavior and determine the best metrics to measure success, even when data is messy or non-existent.
• Technical Stack: Advanced proficiency in Python and SQL. Experience with BI tools (Looker) and visualization libraries (Plotly, etc.).
• Data Engineering Savvy: Experience with data transformation at scale using dbt and Airflow.
• Production Experience: Proven track record of deploying data products to production (on GCS, AWS, or Azure) and implementing monitoring/alerting to ensure service quality.
• Scientific Rigor: Strong background in statistics, A/B testing methodology, and applying ML/AI to improve business understanding.
• Communication: Ability to translate complex methodologies into clear "so-whats" for non-technical stakeholders and business users.

Bonus Points

• Gaming Passion: A deep love for F2P mobile games and an understanding of game loops/economies.
• Specialized Knowledge: Familiarity with causal inference, Bayesian statistics, or MLOps platforms.
• Deep Learning & GenAI: Hands-on experience with LLMs, predictions using Transformers, or other Deep Learning architectures applied to behavioral data or content generation.

Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, which interrogates and assesses client information in terms of the re-identification risk to patients.

As part of the Privacy Science team within Privacy Solutions you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. 

You Will:

• Critically analyse large health datasets using standard and bespoke software libraries
• Discuss your findings and progress with internal and external stakeholders
• Produce high quality reports which summarise your findings
• Contribute to research activities as we explore novel and established sources of re-identification risk

What You Will Bring to the Table: 

• MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar.
• Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language
• A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods
• Seeks to understand real-world data in context rather than consider it in abstraction
• Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions
• Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines
• Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports
• Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Solution’ knowledge base
• An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation
• Familiarity with Amazon Web Services cloud-based storage and computing facilities
• Bonus: Experience with SQL
• Bonus: Experience of creating documents using LATEX
• Bonus: Detailed knowledge of one or more types of health information such as genomics
• Bonus: Experience with public sector work

Perks of joining Datavant in Barcelona

• 25 vacation days
• Daily in-office lunch stipend (and a fully stocked kitchen)  
• Hybrid work model: 2 days/ week in our office in Gracia
• Commitment to professional development opportunities 
• Employee-led initiatives including annual company-wide innovation day & DEI resource groups 
• Comprehensive private health coverage w/ out-of-network reimbursements options 
• Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
• Peer & company recognition programs
• Monthly educational lunch & learns

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

 ⭐Our Data Science Teams:

We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

🔑You’ll play a key role by...

• Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day
• Develop and execute best practices for experimentation enabling our team to make data informed decisions
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Work closely with leaders in product, engineering, design and research to build and iterate on product ideas 

🤩 We’d love to hear from you if…

• You enjoy working with cross functional fast moving teams
• You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
• You are excited about mentoring other data scientists and analytics engineers 
• You are excited by experimentation and utilising new data techniques to solve challenging problems 
• You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features
• You are opinionated about how to think about measuring success and are willing to challenge the status quo

🙌What’s in it for you:

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

📍Barcelona, ESP

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of €1,200 a year for books, training courses and conferences

🌈 The application journey has 3 key steps

Our interview process involves three main stages: 

• Initial Call 
• Technical assessment
• Final Interviews
  • Business Fit/Collaboration
  • Case Study
  • Technical Interview

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.

One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo 

LI-BJ1

We are looking for an experienced Lead Data Scientist to add to our Data Science team.

Responsibilities:

• Drive the team’s data science vision and ensure alignment with business goals, focusing on ad-tech and revenue optimization.
• Guide and support the growth of data scientists, fostering a collaborative and innovative environment.
• Oversee the development of scalable, high-impact models for ad targeting, bid strategy, and performance analysis.
• Ensure the efficiency and relevance of data pipelines and models, adapting to the dynamic tech landscape.

Technology Stack:

• Proficiency in Python and SQL.
• Experience with manipulation frameworks such as PySpark and Pandas.
• Skilled at using cloud services such as AWS, etc.
• Hands-on experience in DNN models training libraries and frameworks (PyTorch, Hydra, comet etc.)

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, preferably in a product-focused environment.
• 2+ years experience in AdTech.
• 2+ years experience in a leading role.
• Strong analytical skills with the ability to derive insights from complex datasets.
• Proficiency in statistical modeling and machine learning techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Based in Barcelona, Spain or ready for relocation.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.