810 Data Science Positions jobs in Bahrain

Job Summary

We are seeking the 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

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.

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

• Assist senior data scientists in collecting, cleaning, and preparing large datasets for analysis.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the development and implementation of machine learning models.
• Contribute to the creation of data visualizations and dashboards to communicate findings.
• Learn and apply statistical techniques to test hypotheses and draw conclusions.
• Participate in team meetings, brainstorming sessions, and project planning.
• Document methodologies, processes, and results clearly and concisely.
• Assist in the validation and testing of data models and algorithms.
• Gain exposure to various data science tools and programming languages (e.g., Python, R, SQL).
• Engage in continuous learning to stay updated with the latest advancements in data science.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Basic understanding of statistical concepts and machine learning algorithms.
• Familiarity with programming languages like Python or R is highly desirable.
• Experience with SQL for database querying is a plus.
• Excellent attention to detail and organizational skills.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and take on new challenges.
• Must be available for the full internship duration and be based in or willing to relocate to the **Jidhafs, Capital, BH** area.

• Assist in the collection, cleaning, and preparation of large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and implementation of machine learning models.
• Create data visualizations and reports to communicate insights.
• Collaborate with senior data scientists on ongoing projects.
• Document data science methodologies and project findings.
• Learn and apply new data science techniques and tools.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Solid understanding of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language (Python or R).
• Familiarity with SQL for data querying.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Eagerness to learn and adapt in a fast-paced environment.
• Demonstrated ability to work effectively in a remote setting.

• Assist in data collection, cleaning, and preprocessing tasks.
• Perform exploratory data analysis to identify trends and patterns.
• Develop data visualizations to communicate findings effectively.
• Support the development and validation of predictive models.
• Contribute to the implementation of data-driven solutions.
• Collaborate with senior data scientists and cross-functional teams.
• Research and apply new data science techniques and tools.
• Document methodologies and results of analyses.
• Assist in the preparation of reports and presentations.
• Learn and adhere to data governance and best practices.

• Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and methodologies.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Basic knowledge of machine learning algorithms and concepts.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies.

• Assist in data collection and preparation for analysis.
• Perform data cleaning and transformation tasks under supervision.
• Support data scientists in exploratory data analysis and visualization.
• Learn and apply statistical methods to analyze datasets.
• Help in building and testing predictive models.
• Document findings, methodologies, and processes.
• Collaborate with team members on data-related projects.
• Participate in training sessions and workshops to enhance data science skills.
• Gain exposure to various data science tools and programming languages (e.g., Python, R, SQL).
• Contribute to ad-hoc data analysis requests as needed.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with at least one programming language commonly used in data science, such as Python or R.
• Strong analytical and problem-solving abilities.
• Eagerness to learn and adapt to new technologies and methodologies.
• Excellent attention to detail and commitment to data accuracy.
• Good communication skills, both written and verbal.
• Ability to work effectively as part of a team.
• Proactive attitude and a genuine interest in data science.
• Prior exposure through academic projects or personal initiatives is a plus.