Overview
Data Scientist Jobs in Al Khobar, Eastern, Saudi Arabia at Wisayah Investment Company
Title: Data Scientist
Company: Wisayah Investment Company
Location: Al Khobar, Eastern, Saudi Arabia
Role Description
The Data Scientist Senior Analyst plays a key role in embedding advanced analytics and AI-enabled capabilities into day-to-day investment and operational workflows. The role combines business-facing enablement with hands-on solution development—working across teams to improve how data is used, decisions are made, and processes are executed.
The position begins with a strong focus on understanding the firm’s data ecosystem and internal workflows and evolves into designing and building scalable solutions—from workflow automation to more advanced, model-driven applications that support the firm’s broader digital transformation.
Responsibilities
1. Enablement & Use-Case Development
- Partner with teams across front, middle, and back office to identify where automation and AI can improve real workflows.
- Guide business teams in designing and adopting their own enhanced workflows, providing hands-on support, frameworks, and review.
- Structure business problems into clearly defined use cases, including requirements, prioritization, and expected impact.
- Maintain and track a centralized pipeline of initiatives, including progress, adoption, and outcomes (e.g., efficiency gains, quality improvements).
2. Solution Development & Automation
- Design and build practical solutions that enhance workflows, including automation, data-driven tools, and intelligent assistants.
- Develop and deploy AI-supported applications (e.g., agents, document/query solutions) with appropriate controls and reliability considerations.
- Support implementation of retrieval and knowledge-access solutions that make internal data and content more usable.
- Integrate solutions with internal systems and support end-to-end automation of recurring processes.
3. Data Landscape & Foundations
- Build a deep understanding of the firm’s data architecture, including internal systems, vendor platforms, and document repositories.
- Map key data sources and flows to ensure solutions are grounded in what the data can support.
- Identify and help address gaps in data accessibility, quality, and structure that impact analytics and automation use cases.
4. Stakeholder & Delivery Management
- Act as a bridge between business stakeholders and technical or external partners.
- Support delivery and implementation efforts through hands-on involvement, review, and coordination.
- Contribute to evaluation and onboarding of new tools and platforms, including initial assessment of data handling considerations.
5. Continuous Development & Innovation
- Stay up to date with developments in investment management, data, and applied AI.
- Contribute to evolving the firm’s capabilities by progressively taking on more advanced technical and solution-building responsibilities.
Skills
- Investment Management
- Business & Use-Case Structuring
- Data Analysis & Automation
- Workflow Optimization
- Stakeholder Management
- Communication
- Applied AI / Emerging Technologies
Requirements
- Bachelor’s or master’s degree in finance, Economics, Business, Computer Science, Management Information System or a related field.
- 4–7 years of experience combining investment domain knowledge with hands-on analytics, automation, or AI-related work.
- Proven ability to deliver practical solutions (e.g., automation, reporting tools, intelligent workflows) that are adopted by end users.
- Strong ability to translate between business needs and technical requirements.
- Familiarity with tools such as SQL, Python, or similar; experience working with data-driven workflows is preferred.
- Strong communication skills and experience working across cross-functional teams.
- High ownership mindset, with comfort operating in evolving and ambiguous environments.