Senior Data Science Manager - Financial Services

Client of Discovered MENA

Employer Active

Posted on 29 Mar

Experience

9 - 14 Years

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Lead the design, development, and deployment of advanced data science and machine learning models to drive business outcomes across multiple domains.

Apply a range of techniques including supervised, unsupervised, and time-series modelling to solve complex business problems using structured and semi-structured data.

Own the end-to-end data science lifecycle, including feature engineering, model development, validation, benchmarking, and deployment.

Conduct experimentation using A/B testing, statistical analysis, and hypothesis testing to measure model performance and business impact.

Collaborate closely with engineering and technology teams to ensure models are production-ready and integrated through CI/CD pipelines.

Monitor model performance, data drift, and stability, ensuring ongoing reliability, fairness, and compliance with regulatory requirements.

Engage with stakeholders across the business to identify opportunities and embed data-driven decision-making into core processes.

Lead and mentor data science teams, driving delivery standards, capability development, and best practices.

Drive adoption of data science solutions through structured change management, stakeholder engagement, and communication.

Desired Candidate Profile

9+ years of experience in data science, machine learning, or advanced analytics roles.

Strong experience applying AI/ML techniques within complex, data-driven environments, ideally within financial services.

Proven experience leading teams and delivering production-grade data science solutions in regulated environments.

Strong hands-on expertise in Python, statistical modelling, and machine learning techniques.

Experience with Generative AI, LLMs, and MLOps frameworks.

Experience building and deploying models on cloud platforms such as AWS or Azure.

Strong understanding of experimentation, model validation, and performance monitoring.

Experience working in cross-functional teams and collaborating with business and technology stakeholders.

Bachelor s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field (Master s preferred).

Company Industry

Department / Functional Area

Keywords

  • Senior Data Science Manager - Financial Services

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