Senior Data Scientist in Football
AS1
Remote (Europe) | Spain preferred
At AS1, we are redefining how data shapes decision-making in football — from player performance to transfer strategy.
Behind every smart scouting decision, every undervalued player identified, and every strategic move in the market, there is a powerful combination of data, models, and football understanding.
That is exactly what this role is about.
We are looking for a Senior Data Scientist who wants to operate at the intersection of football performance, market intelligence, and advanced analytics — and who is motivated by building models that directly influence real-world decisions.
Why this role exists
Modern football is no longer driven by intuition alone.
Clubs, agents, and decision-makers increasingly rely on:
• Advanced performance metrics
• Predictive modeling
• Market intelligence and valuation systems
However, the real competitive edge comes from connecting these domains into a single decision-making framework.
At AS1, we are building that layer.
To do so, we need a data scientist who can transform complex data into clear, actionable, and strategic insights — in environments where decisions matter and timing is critical.
What you will work on
This role is about owning the intelligence layer of football decision-making.
You will design and deploy models that:
• Evaluate player performance and potential
• Identify market opportunities and inefficiencies
• Support scouting and recruitment strategies
• Inform player representation and transfer decisions
You will work with complex, multi-source datasets including:
• Event and tracking data
• Market and transfer data
• Internal proprietary datasets
Your work will directly impact:
• Player scouting and recruitment
• Squad building and fit analysis
• Transfer strategy and valuation
• Strategic advisory to stakeholders
Much of what you will build will define how decisions are made going forward.
Where you will work
You will be part of a distributed team, working remotely across Europe, with a strong preference for Spain.
This setup allows:
• Close collaboration with technical and football profiles
• Flexibility in execution
• Direct exposure to real decision-making processes
How you will work
You will collaborate across a multidisciplinary environment combining:
• Data science and machine learning expertise
• Football domain knowledge
• Business and market understanding
You will work closely with:
• Data engineers and data providers
• Football analysts and scouts
• External partners
This role suits someone who enjoys:
• Building models that go beyond academic exercises
• Working close to decision-makers
• Translating complexity into clarity
• Balancing rigor with real-world applicability
What kind of profile fits
Beyond technical skills, we are looking for someone who:
• Thinks in terms of impact, not just models
• Is comfortable navigating ambiguity and open problems
• Combines analytical depth with football intuition
• Is proactive, autonomous, and solution-oriented
• Enjoys working in fast-paced, high-stakes environments
Experience in football analytics is highly valued, but mindset and problem-solving ability are critical.
Why this is a unique opportunity
• Shape how data influences player careers and transfer strategy
• Work at the intersection of performance analytics and football economics
• Build proprietary models with real-world impact
• Operate in a high-leverage environment with direct decision influence
• Contribute to the next generation of football intelligence systems
We are not just analyzing the game.
We are helping define how decisions in football will be made.
Key responsibilities
• Design and implement predictive models for player performance and valuation
• Analyze large-scale, multi-source datasets to generate actionable insights
• Develop proprietary algorithms to assess player potential and team fit
• Collaborate with data engineers to ensure data quality and scalability
• Translate complex outputs into clear recommendations for non-technical stakeholders
• Stay at the forefront of data science and football analytics innovation
Required profile
• 5+ years of experience in data science and machine learning
• Strong proficiency in Python (pandas, scikit-learn, numpy) and SQL
• Solid experience in predictive modeling and statistical analysis
• MSc (or equivalent) in a quantitative field (data science, statistics, physics, etc.)
• Fluent in English (Spanish is a plus)
Nice to have
• Experience with cloud platforms (e.g. AWS)
• Background in football analytics
• Familiarity with providers such as Opta, Wyscout, or StatsBomb
• Experience working with event and tracking data
Application process
Interested candidates should send:
• CV
• Short motivation letter
To:
Email subject: Senior Data Scientist in Football
Applications will be reviewed on a rolling basis. Early applications are encouraged.