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.