Mozn
Data Science Manager (Enterprise AI – Riyadh)
- Permanent
- Riyadh, Saudi Arabia
- Experience 10 - 15 yrs
Job expiry date: 28/03/2026
Job overview
Date posted
12/02/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 30,000 - 40,000 per month
Compensation
Comprehensive package
Experience
10 - 15 yrs
Seniority
Manager
Qualification
Bachelors degree
Expiration date
28/03/2026
Job description
Mozn, a leading Enterprise AI company focused on Financial Crime Prevention and Enterprise Knowledge Intelligence, is seeking a Data Science Manager to lead its Riyadh team. The role requires guiding and developing a team of data scientists, overseeing the full lifecycle of model development from ideation to productionization, and ensuring the delivery of high-quality, client-focused AI and data science solutions. The Data Science Manager will collaborate closely with engineering, product, and client teams to translate complex business problems into actionable data-driven solutions, contribute to the design of scalable and reusable data and software platforms, and keep the team informed of emerging AI and data science technologies. The ideal candidate will have extensive experience deploying data science solutions in production, broad knowledge of machine learning and statistical modeling, and proficiency in Python with frameworks such as PyTorch or TensorFlow. Experience handling large real-world datasets (structured and unstructured), familiarity with scalable ML infrastructure, cloud computing, and distributed computing, along with strong client-facing communication skills, is essential. Arabic proficiency is preferred. The role emphasizes leadership, team development, business engagement, innovation, and delivery of measurable client impact within a high-growth AI enterprise environment.
Required skills
Key responsibilities
- Lead, mentor, and develop a high-performing team of data scientists, providing guidance throughout all aspects of model development, evaluation, deployment, and monitoring to ensure impactful client solutions.
- Oversee the full data science project lifecycle, including ideation, experimentation, prototyping, productionization, and ongoing model monitoring, ensuring high-quality and timely delivery aligned with business objectives.
- Collaborate with engineering, product teams, and clients to understand requirements, translate complex business problems into data-driven solutions, and communicate insights and results effectively to technical and non-technical stakeholders.
- Contribute to the design, improvement, and optimization of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions for enterprise AI applications.
- Stay abreast of emerging technologies, AI trends, and best practices in data science, machine learning, and analytics, fostering continuous learning and innovation within the team.
- Support business development by engaging in client discussions, understanding their needs, proposing tailored data science solutions across diverse domains, and assisting in delivering client presentations and proposals.
- Foster an inclusive, collaborative, and high-performance team culture, attracting, developing, and retaining top talent, promoting knowledge sharing, and ensuring alignment with organizational goals and client expectations.
- Ensure compliance with best practices in data governance, model validation, reproducibility, and operational excellence across all data science initiatives.
- Represent the data science function in cross-functional forums, collaborating with stakeholders to influence strategic decisions, improve operational efficiency, and maximize the impact of AI solutions for clients.
Experience & skills
- 10+ years of relevant experience in data science, with at least 4 years in leadership or managerial roles overseeing teams and projects.
- Proven experience developing and deploying data science solutions in production environments, handling large-scale structured and unstructured datasets.
- Broad knowledge and practical expertise in machine learning, statistical modeling, data analysis, and advanced analytics techniques.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.
- Experience with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
- Strong leadership and team management skills, with experience mentoring and developing data science talent and fostering high-performing teams.
- Excellent client-facing communication skills, with the ability to translate complex technical concepts for business stakeholders and influence decisions.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
- Proficiency in Arabic is preferred, along with a demonstrated commitment to collaboration, innovation, and delivering high-quality, client-focused AI solutions.