710 Science jobs in Bahrain

Company Description

New Generation Private School (NGPS) is an international British school offering education from Nursery to Grade 10. Located in a strategic area, we are home to students from over 35 different nationalities, celebrating the diversity they bring. Our curriculum and methodology are based on the best global educational research and practices. At NGPS, we create a learning environment that is continuous, relevant, and adaptive, fostering the development of future global citizens through engaging and fun activities.

Role Description

This is a full-time on-site role for a Science Teacher at New Generation Private School located in Manama, Bahrain. The Science Teacher will be responsible for planning and delivering engaging and effective science lessons, assessing student progress, and supporting the overall academic development of students in their science education. The teacher will also collaborate with colleagues, participate in school events, and maintain a positive learning environment.

Qualifications

• Qualified Teacher with experience in Science Education
• Proficiency in teaching Physics and Mathematics
• Skilled in Lesson Planning and curriculum development
• Excellent communication and interpersonal skills
• Ability to create a stimulating and inclusive learning environment
• Bachelor's degree in Science Education, Physics, or a related field
• Experience in an international or diverse educational setting is a plus

• Must hold a relevant academic qualification in Science, attested by Quadrabay.
• Previous teaching experience is required.
• Excellent command of the English language (spoken and written).

Job Types: Full-time, Contract

Contract length: 10 months

Pay: BD BD per month

Education:

• Bachelor's (Required)

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

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

• 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

Job Summary
We are seeking a
Data Science Manager & Head of Recommendations and Personalization
to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

Key Responsibilities:
Strategy & Leadership

• 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.

Data Science & Modeling

• 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.

Personalization Infrastructure

• 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.

Client-Centric Data Insights

• 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.

Key Attributes & Competencies

• 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.

Qualifications

• 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

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value.

With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

• Lead and manage agricultural research and development projects.
• Develop and implement innovative strategies for crop production, yield improvement, and pest management.
• Conduct research in areas such as soil science, plant physiology, and sustainable farming practices.
• Analyze agricultural data and provide scientific insights to guide decision-making.
• Oversee the testing and evaluation of new agricultural technologies and techniques.
• Provide technical expertise and guidance to field operations and stakeholders.
• Develop and maintain relationships with research institutions and industry partners.
• Ensure compliance with environmental regulations and sustainable agricultural standards.
• Mentor and guide junior research staff.
• Disseminate research findings through reports, presentations, and publications.

• Ph.D. or Master's degree in Agronomy, Plant Science, Agricultural Engineering, or a related field.
• Minimum of 7 years of progressive experience in agricultural research and development.
• Proven track record of leading successful research projects.
• Strong knowledge of crop science, soil health, sustainable agriculture, and precision farming techniques.
• Experience with data analysis software and agricultural modeling tools.
• Excellent leadership, communication, and project management skills.
• Ability to work independently and collaboratively in a remote setting.

• Develop and implement crop management plans to optimize yield and quality.
• Analyze soil samples and recommend appropriate fertilization and soil amendment programs.
• Advise on planting, irrigation, pest control, and disease management strategies.
• Conduct field trials and research on crop varieties and agricultural technologies.
• Monitor crop growth and health, identifying and diagnosing problems.
• Recommend and implement sustainable farming practices.
• Interpret scientific data and provide practical recommendations to farmers.
• Stay updated on agricultural research, industry trends, and regulatory changes.
• Collaborate with agronomists, researchers, and farm managers.
• Maintain detailed records of farm operations and crop performance.

• Bachelor's degree in Agronomy, Crop Science, Agriculture, or a related field. Master's degree preferred.
• Minimum of 3-5 years of experience in agronomy or crop management.
• Solid understanding of soil science, plant physiology, and crop pathology.
• Experience with agricultural data analysis and interpretation.
• Knowledge of sustainable farming practices and integrated pest management (IPM).
• Familiarity with modern agricultural equipment and technologies.
• Excellent observational, analytical, and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to advise farmers effectively.
• Ability to work independently in field conditions.
• Passion for agriculture and contributing to food security.