Data Scientist — Hybrid, ML & Big Data Analytics

Experian Health

Granada

Híbrido

EUR 42.000 - 64.000

Jornada completa

14 días+
Generador de candidaturas

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Great compensation package and bonus
Private Health Care
Hybrid model of teleworking
Flexible time off and holidays

Descripción de la vacante

Experian Spain is seeking a data analytics professional to develop analytical solutions for clients and their customers. You will collect and analyze large datasets, build insights, and create solutions across credit life cycle, risk, fraud, and marketing domains.

You will leverage Python, SQL, Power BI, and cloud platforms like Databricks/Cloudera/Snowflake to deliver automated data processes, dashboards, and models.

Formación

  • 2–3 years of experience in statistical or analytical project work across financial services, telecoms, retail, tech or consulting.
  • Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, information technology, or physics.
  • Strong proficiency in Python for data analysis, advanced analytics and automation (Pandas, Numpy; ML packages). Knowledge of PySpark, TensorFlow or PyTorch is a plus.
  • Knowledge of R, SQL, and SQL Server is valued as an asset.
  • Experience with cloud-based data platforms (Databricks, Cloudera, Snowflake).
  • Knowledge of Power BI for interactive dashboards.
  • Fluency in written and spoken English.

Responsabilidades

  • Data Processing: clean, transform, and organize raw data for analysis.
  • Optimization: automate and improve data delivery and processes.
  • Data Analysis: analyze large volumes of structured and unstructured data to identify trends.
  • Data Visualization: create visual reports to clarify business pain points.
  • Big data platforms: work with Databricks, Cloudera, Snowflake.
  • Statistical Techniques: apply methods to validate findings.
  • Machine Learning: develop models and predictive algorithms.
  • Programming: apply programming languages and tools for analysis.
  • Communication: coordinate with clients and internal teams to implement projects.
  • Problem solving: own end-to-end resolution of issues.

Conocimientos

Fluency in English
Python for data analysis
SQL
Communication
Machine learning concepts
Data analysis

Educación

Degree in computer science/data science/statistics/mathematics/information technology/physics

Herramientas

Databricks
Cloudera
Snowflake
Power BI
TensorFlow
PyTorch
Pandas
Numpy
SQL Server

Descripción del empleo

Experian Spain is seeking a data analytics professional to develop analytical solutions for clients and their customers. You will collect and analyze large datasets, build insights, and create solutions across credit life cycle, risk, fraud, and marketing domains.

You will leverage Python, SQL, Power BI, and cloud platforms like Databricks/Cloudera/Snowflake to deliver automated data processes, dashboards, and models.

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