You will work on challenging data and analytics problems, applying statistical, machine-learning and advanced analytical techniques while collaborating with technical teams and clients.
Key Responsibilities

Develop and implement Machine Learning models and algorithms to solve complex problems.
Apply statistical and data-mining techniques to analyse complex datasets.
Develop innovative algorithms and analytical solutions, including solutions from scratch where required.
Work with large datasets and relational databases.
Perform advanced analytics to identify trends, patterns and actionable insights.
Analyse issues, identify root causes and recommend effective solutions.
Translate complex analytical findings into clear and practical recommendations.
Collaborate with colleagues, technical teams and clients to deliver data-driven solutions.
Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Continuously explore new approaches, technologies and methodologies to improve analytical solutions.




Strong experience in Python for Data Science, Machine Learning and advanced analytics.
Experience with R and/or Scala.
Strong understanding of statistical and data-mining techniques.
Hands-on experience with Machine Learning and advanced analytics.
Experience working with large datasets.
Strong knowledge of relational databases and SQL.
Experience developing algorithms and analytical models.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Ability to explain complex data and technical concepts clearly.
A quantitative/technical degree such as Computer Science, Mathematics, Statistics, Physics, Engineering or equivalent experience.

The role involves technologies:
Python | R | Scala | Machine Learning | Statistical Modelling | Data Mining | SQL | Relational Databases | Advanced Analytics

📌 Data Scientist (Madrid)
🏢 Russell Tobin
📍 Madrid