On-Site Data Scientist for Fintech (KSA/Kuwait Relocation)

Databorn; Saudi Arabia; On-site; SAR 180,000 - 280,000; Full time

Benefits offered by this job

Dedicated mentor

Training and certification opportunities

Annual performance bonuses

Annual performance review

Projects with the latest technologies

Job summary

A leading consulting firm is seeking a skilled Data Scientist for on-site projects in KSA or Kuwait. The ideal candidate will have a strong background in statistics and machine learning to solve complex problems, collaborating with stakeholders to develop data-driven solutions. You will engage with customers, maintain satisfaction, and have the opportunity for relocation assistance or extended business trips. Proficiency in English and Arabic, along with experience in the banking or transactional data environment, is required. Join us to turn data into actionable insights.

Qualifications

• Strong background in statistics and machine learning to solve complex business problems.
• Experience in translating business challenges into data-driven solutions.
• Readiness for expanded business trips or relocation to KSA or Kuwait.

Responsibilities

• Collaborate with stakeholders to define and formalize analytics requirements.
• Translate business challenges into data workflows and structures.
• Build, train, and evaluate machine learning models.

Skills

Big Data Ecosystem: Hadoop

Data Analysis: MS Excel

Proficiency in English

Proficiency in Arabic

Experience with banking or transactional data

Job description

A leading consulting firm is seeking a skilled Data Scientist for on-site projects in KSA or Kuwait. The ideal candidate will have a strong background in statistics and machine learning to solve complex problems, collaborating with stakeholders to develop data-driven solutions. You will engage with customers, maintain satisfaction, and have the opportunity for relocation assistance or extended business trips. Proficiency in English and Arabic, along with experience in the banking or transactional data environment, is required. Join us to turn data into actionable insights.