1 260 Python Developer jobs in Bahrain

• Design, develop, test, and deploy high-quality backend services and APIs using Python and associated frameworks (e.g., Django, Flask).
• Collaborate with frontend developers, product managers, and designers to define and implement new features.
• Optimize application performance, scalability, and reliability.
• Manage and interact with databases (SQL and NoSQL).
• Implement and maintain CI/CD pipelines and ensure smooth deployment processes.
• Write clean, well-documented, and maintainable code.
• Conduct code reviews and provide constructive feedback to team members.
• Troubleshoot and resolve backend issues and bugs.
• Stay up-to-date with emerging technologies and best practices in backend development.
• Contribute to architectural discussions and technical decision-making.

• Assist in the development of user-friendly web interfaces using HTML, CSS, and JavaScript.
• Support back-end development tasks and database integration.
• Write clean, well-documented, and efficient code.
• Participate in code reviews and contribute to team discussions.
• Debug and resolve software defects and issues.
• Collaborate with senior developers and designers on project tasks.
• Learn and apply new technologies and frameworks as required.
• Assist in testing and quality assurance processes.
• Contribute to project documentation.
• Develop skills in agile development methodologies.

• Assisting senior developers in coding, testing, and debugging web applications.
• Learning and applying front-end technologies such as HTML, CSS, and JavaScript.
• Gaining exposure to back-end languages and frameworks (e.g., Python, Node.js, PHP).
• Participating in the development of responsive and user-friendly web interfaces.
• Learning database concepts and assisting with database management tasks.
• Collaborating with team members on project requirements and solutions.
• Participating in team meetings and contributing to discussions.
• Documenting code and development processes.
• Troubleshooting and resolving technical issues.
• Continuously learning new technologies and improving development skills.

• Design, build, and maintain efficient, reusable, and reliable Python code using the Django framework.
• Develop and implement robust APIs for various client applications.
• Integrate user-facing elements with server-side logic, ensuring seamless performance and user experience.
• Write comprehensive unit and integration tests to ensure code quality and stability.
• Optimize applications for maximum speed and scalability across distributed systems.
• Collaborate with front-end developers, product managers, and designers to translate requirements into technical solutions.
• Participate in code reviews, providing constructive feedback to peers.
• Troubleshoot, debug, and upgrade existing software.
• Contribute to architectural decisions and technology selections.
• Stay up-to-date with emerging trends and technologies in backend development.
• Manage database schemas and optimize database performance.
• Implement and maintain CI/CD pipelines.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of professional experience in backend development with Python.
• Proven expertise with the Django framework and its ecosystem.
• Strong understanding of RESTful API design principles.
• Experience with relational databases (e.g., PostgreSQL, MySQL) and ORMs.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Experience with version control systems, particularly Git.
• Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, essential for a remote team environment.
• Ability to work independently and manage time effectively.

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
  
  

• Design, build, and deploy ML/AI models for:
• Personalized investment recommendations
• Smart content curation
• Behavioral and predictive analytics
• Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
  

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
  
  

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
  
  

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.
  
  

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus