Data Scientist

As a Data Scientist you will leverage data for effective decisionmaking and innovation. We seek professionals skilled in cuttingedge data science techniques and tools contributing to our digital transformation journey.

Key responsibilities include:

• Leverage data for decisionmaking and innovation in our digital transformation journey.

• Utilize Python R SQL and Spark for data analysis and machine learning.

• Develop machine learning algorithms data visualizations and work with big data technologies (Hadoop Spark NoSQL databases Hive).

• Use cloud computing platforms (AWS GCP Azure) for data processing and analysis.

• Design and manage data pipelines and infrastructure.

• Employ deep learning frameworks (TensorFlow PyTorch Keras Caffe) for model building and training.

• Conduct statistical analysis (descriptive inferential regression time series cluster analysis).

• Practice data storytelling for effective communication of insights.

• Uphold data ethics privacy and unbiased analysis.

• Align data insights with business objectives.

• Manage data science projects with knowledge of agile methodologies.

• Develop domainspecific knowledge for relevant business insights.
  

Requirements

• Demonstrable expertise in programming languages (Python R SQL Spark) and machine learning.
  
• Proficiency in data visualization and big data technologies.
  
• Experience with cloud computing platforms and data engineering principles.
  
• Familiarity with deep learning frameworks and statistical analysis methods.
  
• Strong skills in data storytelling and ethical data practices.
  
• Business acumen and practical project management skills.
  
• Excellent collaborative and communication abilities.
  

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If you have similar background but do not meet all the above qualifications we still encourage you to apply. We have several vacancies with different clients each with varying requirements and opportunities. Your skills and experience might be a perfect fit for one of our other roles.

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A Bachelor's or Master's degree. Minimum of 5 years of experience in full-stack Java software engineering, including Java 11 and Spring. Experience with distributed software architectures and cloud-based hosting (preferably Azure). Back-end development proficiency with some front-end (web) development exposure. Knowledge of Continuous Integration, Build, and Deployment practices, tools, and trends. Comprehensive understanding of Java development methods, IT architectures, and common development tools. Skill in writing SQL database queries. Experience in the financial sector is preferable. Familiarity with tools like Azure DevOps and Splunk monitoring. A flexible, proactive approach with a strong analytical mindset and result orientation. Excellent oral and written communication skills in English.