Senior Data Scientist in Football
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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.
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.
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
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, and 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
Think in terms of impact, not just models
Comfortable navigating ambiguity and open problems
Combines analytical depth with football intuition
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. xhfqzwm Early applications are encouraged.
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