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Job Views:  
230
Applications:  39
Recruiter Actions:  7

Posted in

IT & Systems

Job Code

1533340

Our client, a global consulting firm, is seeking an experienced Data Scientist with a strong background in statistical analysis, machine learning, and SAS programming. The ideal candidate will have experience in the financial industry, excellent communication skills, and the ability to collaborate with cross-functional teams. This role involves developing predictive models, extracting insights from complex data sets, and ensuring effective stakeholder engagement.

Role:

Non-technical

- Strong communication skills and ability to present findings

- Experience in Financial Industry

- Collaborate with cross-functional teams to understand business requirements

- Document all steps in the development process

- Stay updated with the latest developments in the field

Technical

- Advanced knowledge of statistical analysis and machine learning

- Highly Proficient in SAS programming language (SAS 9.4)

- Proficient is other Data Science programming languages (e.g. Python, R)

- Experience in Dataiku and understanding of MLOps (on Azure)

- Develop, test, implement, and maintain predictive models

- Identify opportunities to innovatively use data/ extract insights from complex data sets

Cultural Fit


- Owning the outcome (ownership)

- Being driven/passionate in analytics

- Problem solving mindset, challenging the status quo

- Self-organizing, independent and takes ownership of each task

- Meticulous to detail

- Thrive under pressure

KPIs:

- Time to deployment

- Model accuracy (e.g., RMSE, MAE for regression tasks)

- Number of business problems addressed

- Responsiveness to business questions/problems/requests

- Number of departments/business users supported/adopted the solution

- Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.

- Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.

- Data Security Compliance: Compliance with data security protocols and regulations.

Knowledge & Experience:

- 3 years + in a similar role, ideally with financial services

- Advanced knowledge of statistical analysis and machine learning

- Highly Proficient in SAS programming language (SAS 9.4)

- Proficient is other Data Science programming languages (e.g. Python, R)

- Experience in Dataiku and understanding of MLOps (on Azure)

- Experience in Financial Industry will be an advantage

- Strong communication skills and ability to present findings to senior stakeholders (non technical)

This is a 5-month contractual opportunity in Abu Dhabi.

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Job Views:  
230
Applications:  39
Recruiter Actions:  7

Posted in

IT & Systems

Job Code

1533340

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