Senior Data Scientist – AS1At 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
Advanced performance metrics
Market intelligence and valuation systems
Modern football is no longer driven by intuition alone. Clubs, agents, and decision‐makers increasingly rely on: ... 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
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:
Think[s] 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
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:
To:
Applications will be reviewed on a rolling basis. Early applications are encouraged.
Senior Data Scientist - Machine learning - Python - SQL - Cloud - remoto (*A)BNP Paribas Group is the top bank in the European Union and a major international banking establishment. It has close to 185,000 employees in 65 countries. In Spain we are more than 5,100 employees within 13 business lines.
RISK HUB
RISK is an integrated and independent control function of the BNP Paribas Group. It is the second line of defense on the risk management activities of the Group which are under its direct responsibilities, including credit and counterparty risk, market risk, funding and liquidity risk, interest rate and foreign exchange risks in the banking book, insurance risk, operational risk, and environmental and social risks.
RISK aims at being a partner of the businesses by contributing to their sustainable development, but also a gatekeeper to ensure risks taken remain compatible with the Group's Risk Appetite and its strategy.
RISK Iberian Hub Madrid is a transversal platform servicing the RISK Function by covering added‐value activities around credit risk, market risk, operational risk and data protection. Offering a wide range of services to RISK teams, from consulting to cyber security going through data analysis, modelling or artificial intelligence.
ABOUT THE JOB
Want to help shape the bank of tomorrow today?How can the Bank leverage data to assess credit risk on its portfolio of existing and new clients
Risk assessment encompasses various elements: how likely is it that a client will not be able to comply with the contractual requirements of his loan? What will be the client's outstanding balance in this situation? What loss is the bank expected to suffer if a client is no longer able to repay a loan?
As a member of the RISK Models team, you will join a team of experts whose goal is to answer these questions through the development of statistical or expert models.
By analysing historical data, working together with the business lines, IT department, the modelling experts at BNP Paribas group and taking into account the remarks of supervisor representatives, the team creates tools that help the bank calculate the capital requirements for its credit exposure, the risk component of the credit price or that contribute to the approval process of a new credit.
RESPONSIBILITIES
Designing and developing models for credit risk on the scope mainly of companies
Finding, managing and using the most appropriate data sources for modelling purposes
Working with expert colleagues and business representatives to examine the results and keep models grounded in reality
Documenting each step of the development and informing decision makers by presenting them options and results
Ensuring correct implementation of the tools (together with the IT department)
Continuously assessing models by means of back‐testing
Answering specific, external requests regarding statistics related to credit risk assessment
Following‐up evolutions in the regulation and in credit risk modelling best‐practices
REQUIREMENTS
Master degree or higher in Mathematics, Economy or Econometrics, Statistics or a similar background where analytics and figures prevail.
Work experience of at least 5 years in credit risk modelling (PD/LGD/LGDD/CCF).
You express yourself perfectly in English, in particular in the writing form. You ideally speak French fluently.
SKILLS
Technical: You have strong SAS programming skills.
It is considered an asset if you have some experience with Big Data technologies, ratings & scorings use across the bank or credit products.
Transversal & Behavioral: You are able to manage long‐term deadlines and plan your work accordingly. You are creative, you pay attention to details, and you are able to work easily with both technical and business‐oriented people.
BENEFITS
Training programs, career plans and internal mobility opportunities, national and international thanks to our presence in different countries.
Diversity and Inclusion Committee that ensures an inclusive work environment. In recent years, several employee communities have been created to organize diversity and inclusion awareness actions (PRIDE, We Generations and MixCity).
Corporate volunteering program (1 Million Hours 2 Help) in which employees can dedicate time out of their working hours to volunteer activities.
Hybrid telecommuting model (50%).
Diversity and inclusion commitment
BNP Paribas Group in Spain is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.
#J-18808-Ljbffr