10 Data Science jobs in Bahrain

• 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
  
  

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

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.

Requirements:

• 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.

Preferable Certificates:

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

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization.

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  
  

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

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

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies.
• Develop and implement predictive models and machine learning algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs.
• Design and conduct experiments to test hypotheses and validate results.
• Communicate findings and recommendations to stakeholders through presentations and reports.
• Continuously monitor and improve model performance through regular updates and refinements.
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work.
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting.
• Work with data engineering teams to ensure data is collected and stored effectively for analysis.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results.
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both verbal and written, in English and Arabic.

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

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

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

• Seniority level Entry level

• Employment type Full-time

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

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Bachelors in Computer Application(Computers), Bachelor of Technology/Engineering(Computers), Bachelor of Science(Computers)

Nationality

Any

Vacancy

1 Vacancy

Job Description

• Responsibilities
• Drive the design and enhancement of data-centric products to boost user productivity, streamline processes, and support strategic decision-making while reducing operational costs.
• Integrate and transform diverse internal and external datasets to engineer robust features that enable advanced analytics and machine learning.
• Design and implement sophisticated statistical models and machine learning algorithms to analyze large-scale data.
• Plan and conduct rigorous data-driven experiments to validate hypotheses and measure the impact of business initiatives.
• Develop intuitive data visualizations and dashboards to communicate insights effectively to both technical and non-technical audiences.
• Automate repetitive data workflows using Python and SQL to improve efficiency and reduce errors.
• Apply Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze unstructured text data and automate content-related tasks.
• Deploy machine learning models using Databricks, ensuring seamless integration with existing data workflows and real-time decision systems.
• Design and maintain scalable and reliable data pipelines to support machine learning and analytics workloads for large datasets.
• Utilize simulation, optimization, and distributed computing techniques to efficiently manage large datasets and improve processing.
• Use clustering, classification, and regression techniques to extract actionable insights and solve complex problems.
• Leverage libraries such as Pandas, NumPy, and SQLAlchemy to build robust ETL pipelines and maintain data consistency.

Desired Candidate Profile

Education Requirements

• Bachelor’s degree in Computer Applications, Economics, Statistics, Mathematics, or a related quantitative discipline.

Essential Technical Skills

• Python: Advanced expertise in Python for building machine learning models, developing backend systems, and constructing scalable data pipelines.
• Natural Language Processing (NLP): Strong proficiency in NLP methods for analyzing unstructured text data and extracting meaningful insights.
• SQL: Solid command of SQL for managing, querying, and analyzing large datasets, especially within cloud-based infrastructures.
• Cloud Computing: Hands-on experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure to deploy machine learning solutions and data applications in scalable and secure environments.

Key Soft Skills

• Excellent analytical and problem-solving abilities with a strategic mindset.
• Strong communication skills, capable of translating complex technical concepts into clear language for non-technical stakeholders.
• Collaborative team player who works effectively across data, engineering, and business units to deliver end-to-end solutions.
• Meticulous attention to detail and a commitment to building robust, high-performance systems.
• Adaptable and open to Agile methodologies, capable of thriving in dynamic, fast-paced environments with multiple stakeholders.
• Open-minded and eager to learn, with the ability to work effectively alongside analysts, business partners, and technical teams.

Employment Type

Full Time

Company Industry

• Banking
• Broking

Department / Functional Area

Keywords

• Data Science
• AI
• ML
• NLP
• SQL
• Python

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We're Hiring: Data Scientist!

We are seeking an analytical and innovative Data Scientist to join our team in Manama, Bahrain. The ideal candidate will possess a strong background in data analysis, machine learning, and statistical modeling to drive insights that inform strategic business decisions.

Position: Data Scientist

Location: Bahrain

Job Type: Full-time

Experience: Minimum 3 years in AI or ML engineering

ARRAY is currently seeking experienced and highly skilled AI and ML Engineers with a strong background in cloud technologies and CI/CD practices to join our team. You will play a pivotal role in designing, developing, and maintaining AI and ML solutions for our clients. We seek individuals with a solid foundation in software engineering principles, a passion for technology, and a proven track record of successful project delivery.

• AI & Machine Learning: Design and implement robust AI and machine learning models to solve complex problems. Collaborate with cross-functional teams to integrate solutions into our products.

• Data Handling: Explore, clean, and analyze data for training and fine-tuning models. Innovate in data collection and integrate new data sources for improved accuracy.

• Cloud Integration: Architect cloud solutions for AI/ML. Leverage cloud platforms for scalable deployment. Implement and optimize algorithms in the cloud environment.

• Model Evaluation & Optimization: Evaluate and fine-tune models for performance. Conduct analyses to meet business objectives.

• CI/CD: Manage continuous integration and deployment pipelines to ensure efficient software delivery.

• Code Quality & Review: Maintain high standards of code quality. Lead code reviews and foster team growth.

• Technical Leadership: Guide project development, mentor team members, and contribute to project success.

• Problem Solving & Documentation: Troubleshoot issues, document processes, and ensure adherence to industry standards.

• Master's or Ph.D. in Computer Science, AI, Machine Learning, or related field.
• At least 3 years of experience in developing and deploying AI/ML models.
• Proficiency with libraries/frameworks like TensorFlow, PyTorch.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong programming skills in Python or R.
• Proven problem-solving skills and excellent communication.

• Track record of delivering projects on time and within budget.
• Ability to thrive in an Agile environment.
• Team-oriented with good interpersonal skills.
• Curiosity and eagerness to stay updated with industry trends.

• Cloud certifications.
• Experience in startup environments.
• Client-facing experience understanding client needs in AI/ML solutions.

• Mid-Senior level

• Full-time

• Other
• IT Services and IT Consulting

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Manama, Bahrain