Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Developing analytical solutions for credit life cycle, risk management, and fraud modelling with an accent on large-scale data processing and predictive modeling. Focus on implementing machine learning algorithms, optimizing data delivery pipelines, and translating complex data insights into business decisions.

Location: Hybrid in Madrid, Spain

Company

Global data and technology company redefining lending practices and preventing fraud through advanced analytics and software.

What you will do

• Clean, transform, and organize raw data for analysis and implementation.
• Develop machine learning models and predictive algorithms to solve business problems.
• Analyze large volumes of structured and unstructured data to identify trends and patterns.
• Create interactive visual reports and dashboards using Power BI to clarify business pain points.
• Utilize big data platforms such as Databricks, Cloudera, and Snowflake.
• Collaborate with clients and internal departments to ensure accurate and timely project implementation.

Requirements

• 2–3 years of experience in statistical or analytical projects, preferably in financial services, tech, or consulting.
• Degree in Computer Science, Data Science, Statistics, Mathematics, IT, or Physics.
• Strong proficiency in Python, specifically with Pandas, Numpy, and ML packages.
• Knowledge of SQL and SQL Server.
• Experience with cloud-based data platforms (Databricks, Cloudera, Snowflake).
• Fluency in written and spoken English.

Nice to have

• Knowledge of Generative AI concepts, including LLMs, RAG, and prompt engineering.
• Proficiency in PySpark, TensorFlow, or PyTorch.
• Knowledge of R.

Culture & Benefits

• Competitive compensation package and bonus plan.
• Private Health Care and hirify.global wellness program.
• Flexible schedule and hybrid teleworking model.
• Flexible time off, including volunteer time off and personal leaves.
• Award-winning "people first" culture focusing on DEI, work-life balance, and authenticity.