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Data Scientist – Python, PySpark & Machine Learning (Banking Sector)

Ranking: 32

Job Description:

Key Responsibilities:

  • Develop and execute robust technical data solutions using Python and PySpark .

  • Conduct data quality investigations and remediation analysis within the AFC area , leveraging machine learning models to improve results.

  • Analyze large-scale data sets from banking systems to extract meaningful insights and ensure compliance.

  • Collaborate with cross-functional teams to align technical solutions with business needs.

  • Document and present findings clearly to both technical and non-technical stakeholders.

Required Skills & Experience:

  • Minimum 5 years of experience in data science or data engineering roles.

  • Proficiency in Python and PySpark for data processing and analysis.

  • Strong command of SQL for querying and data manipulation.

  • Solid understanding of basic machine learning models and their application in real-world scenarios.

  • Experience working in the banking or financial services industry.

  • Ability to investigate and solve data quality issues effectively.

  • English level: B2 (written and spoken) – able to communicate technical insights clearly.

Data Scientist – Python, PySpark & Machine Learning (Banking Sector)

Ranking: 32

Job Description:

Key Responsibilities:

  • Develop and execute robust technical data solutions using Python and PySpark .

  • Conduct data quality investigations and remediation analysis within the AFC area , leveraging machine learning models to improve results.

  • Analyze large-scale data sets from banking systems to extract meaningful insights and ensure compliance.

  • Collaborate with cross-functional teams to align technical solutions with business needs.

  • Document and present findings clearly to both technical and non-technical stakeholders.

Required Skills & Experience:

  • Minimum 5 years of experience in data science or data engineering roles.

  • Proficiency in Python and PySpark for data processing and analysis.

  • Strong command of SQL for querying and data manipulation.

  • Solid understanding of basic machine learning models and their application in real-world scenarios.

  • Experience working in the banking or financial services industry.

  • Ability to investigate and solve data quality issues effectively.

  • English level: B2 (written and spoken) – able to communicate technical insights clearly.

About the projects you will work on

You will work 100% remotely from wherever you decide. Sometimes you may have face-to-face meetings and for that reason you have to reside in Spain or in the European Union.

You will work on projects with a leading company in digital transformation with a passion for technology and innovation in sectors such as banking (35 of the main banks worldwide work with our client), insurance, industrial and automotive in Big Data projects, Blockchain, AI, Cloud, among others.

About the client

  • Global presence in more than 15 markets
  • 8,000+ employees
  • more than 35 years of experience

About the process and your contractual relationship

If you are interested in this offer, we will enroll you in the process and submit your application, blindly, that is, without your contact details, to the technical and human resources department so that they can evaluate your profile and your financial expectations.

If the answer is positive, we organize the meetings so that the client knows you and explains the project in detail.

If after the meeting both parties agree on the conditions, you receive a firm offer to work with us or directly be hired by the client.

  • Equipo
  • Evaluador
  • Manager
  • Agencia
  • Cliente

GFT Cliente

Cliente

Comentarios: 0

Teba Gomez-Monche

Agencia

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Sandra Lobero

Agencia

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Paco Romero

Agencia

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claudia herrero

Agencia

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Hugo Herrero

Manager

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Víctor M. herrero

Evaluador

Comentarios: 3