Senior Data Scientist

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 10years

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Senior Data Scientist you will:

Analyze large and complex datasets to identify trends patterns and actionable insights.
Build and validate predictive and statistical models using machine learning algorithms.
Perform data preprocessing cleaning and transformation to support analytical and modeling needs.
Collaborate with cross-functional teams to understand business and analytical requirements and translate them into effective data-driven solutions.
Design and deliver interactive dashboards and visualizations using Tableau and Power BI.
Write optimize and maintain Python code for data analysis modeling and automation.

What You Bring to the Table:

10 years of overall experience in data analytics data science or advanced business intelligence.
Strong hands-on expertise in Python for data analysis and machine learning.
Proven experience in predictive modeling and advanced analytics.
Solid experience with BI and data visualization tools particularly Tableau and Power BI.
Strong understanding of data preparation transformation and validation techniques.
Experience working with reference data management preferably within capital markets domains.

You Should Possess the Ability to:

Translate complex business problems into analytical and predictive models.
Work independently with large datasets and extract meaningful insights.
Communicate analytical findings clearly through visual storytelling and dashboards.
Optimize Python workflows for performance scalability and maintainability.
Ensure accuracy consistency and reliability of analytical outputs.

What We Bring to the Table:

An Agile data-driven working environment.
Opportunities to work on complex analytical and predictive modeling initiatives.
Exposure to modern BI analytics and machine learning use cases.
A culture that values data quality transparency and continuous improvement.
Collaboration with experienced analytics business and technology teams.
Opportunities for long-term professional growth in analytics and data science.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Hema Murali

Phone:; Extn :132

Email:

LinkedIn: Skills:

As a Senior Data Scientist you will: Analyze large and complex datasets to identify trends patterns and actionable insights. Build and validate predictive and statistical models using machine learning algorithms. Perform data preprocessing cleaning and transformation to support analytical and modeling needs. Collaborate with cross-functional teams to understand business and analytical requirements and translate them into effective data-driven solutions. Design and deliver interactive dashboards and visualizations using Tableau and Power BI. Write optimize and maintain Python code for data analysis modeling and automation. What You Bring to the Table: 10 years of overall experience in data analytics data science or advanced business intelligence. Strong hands-on expertise in Python for data analysis and machine learning. Proven experience in predictive modeling and advanced analytics. Solid experience with BI and data visualization tools particularly Tableau and Power BI. Strong understanding of data preparation transformation and validation techniques. Experience working with reference data management preferably within capital markets domains. You Should Possess the Ability to: Translate complex business problems into analytical and predictive models. Work independently with large datasets and extract meaningful insights. Communicate analytical findings clearly through visual storytelling and dashboards. Optimize Python workflows for performance scalability and maintainability. Ensure accuracy consistency and reliability of analytical outputs. What We Bring to the Table: An Agile data-driven working environment. Opportunities to work on complex analytical and predictive modeling initiatives. Exposure to modern BI analytics and machine learning use cases. A culture that values data quality transparency and continuous improvement. Collaboration with experienced analytics business and technology teams. Opportunities for long-term professional growth in analytics and data science. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Hema Murali Phone:; Extn :132 Email: LinkedIn:

As a Senior Data Scientist you will:

Analyze large and complex datasets to identify trends patterns and actionable insights.
Build and validate predictive and statistical models using machine learning algorithms.
Perform data preprocessing cleaning and transformation to support analytical and modeling needs.
Collaborate with cross-functional teams to understand business and analytical requirements and translate them into effective data-driven solutions.
Design and deliver interactive dashboards and visualizations using Tableau and Power BI.
Write optimize and maintain Python code for data analysis modeling and automation.

What You Bring to the Table:

10 years of overall experience in data analytics data science or advanced business intelligence.
Strong hands-on expertise in Python for data analysis and machine learning.
Proven experience in predictive modeling and advanced analytics.
Solid experience with BI and data visualization tools particularly Tableau and Power BI.
Strong understanding of data preparation transformation and validation techniques.
Experience working with reference data management preferably within capital markets domains.

You Should Possess the Ability to:

Translate complex business problems into analytical and predictive models.
Work independently with large datasets and extract meaningful insights.
Communicate analytical findings clearly through visual storytelling and dashboards.
Optimize Python workflows for performance scalability and maintainability.
Ensure accuracy consistency and reliability of analytical outputs.

What We Bring to the Table:

An Agile data-driven working environment.
Opportunities to work on complex analytical and predictive modeling initiatives.
Exposure to modern BI analytics and machine learning use cases.
A culture that values data quality transparency and continuous improvement.
Collaboration with experienced analytics business and technology teams.
Opportunities for long-term professional growth in analytics and data science.