47 Data Analysis Tools jobs in Bahrain

• Participate in intensive training sessions covering core data science concepts, programming languages (Python, R), SQL, machine learning algorithms, and data visualization techniques.
• Assist in data collection, cleaning, and preprocessing from various sources.
• Support senior analysts in building and evaluating predictive models and statistical analyses.
• Develop compelling data visualizations and reports to communicate insights to stakeholders.
• Learn to use industry-standard data science tools and platforms.
• Collaborate with cross-functional teams on data-related projects.
• Contribute to the documentation of data processes, models, and findings.
• Engage in problem-solving and contribute to innovative data-driven solutions.
• Actively seek feedback and opportunities for professional development.
• Attend team meetings and contribute to project discussions.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong academic record with a demonstrable understanding of statistical concepts and programming fundamentals.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R) is preferred.
• Familiarity with SQL is a plus.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Genuine interest in data science and its applications.
• Must be legally eligible to work in Bahrain.

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
  
  

• 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

• Participate in structured rotations across different data-focused teams.
• Learn and apply statistical modeling and machine learning techniques.
• Develop data visualization dashboards and reports using tools like Tableau or Power BI.
• Clean, transform, and manage large datasets for analysis.
• Assist in the development and deployment of machine learning models.
• Collaborate with team members on analytical projects and present findings.
• Gain exposure to cloud platforms and big data technologies.
• Develop strong problem-solving skills and a data-driven mindset.

• Recent graduate (within the last 12 months) with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and programming languages such as Python or R.
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Basic understanding of machine learning algorithms and principles.
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Self-motivated, eager to learn, and able to work independently in a remote environment.
• Enthusiasm for data science and its applications.

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

• Assisting in data collection, cleaning, and preprocessing.
• Supporting the development and testing of machine learning models.
• Performing exploratory data analysis and generating visualizations.
• Learning and applying statistical techniques to data.
• Contributing to project documentation and reports.
• Collaborating with senior data scientists on various tasks.
• Participating in training sessions and workshops.

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
• Demonstrated interest and aptitude in data analysis and programming.
• Basic understanding of Python or R.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Enthusiasm for learning and a self-starter attitude.

• Gain hands-on experience in data collection, cleaning, and preprocessing.
• Learn and apply various machine learning algorithms (supervised and unsupervised).
• Develop skills in data visualization and storytelling to communicate insights effectively.
• Assist in building and deploying predictive models.
• Contribute to data-driven decision-making across different business units.
• Participate in team projects, offering fresh perspectives and analytical support.
• Exposure to cloud platforms and big data technologies.
• Develop proficiency in programming languages such as Python or R and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Understand database management and SQL querying.
• Engage in continuous learning and professional development through online courses and mentorship.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong academic record with excellent analytical and problem-solving abilities.
• Proficiency in at least one programming language (e.g., Python, R) is highly desirable.
• Familiarity with data science concepts and libraries is a plus.
• Eagerness to learn and adapt to new technologies and methodologies.
• Excellent communication and interpersonal skills, essential for remote collaboration.
• Self-motivated, disciplined, and able to manage time effectively in a remote setting.
• A genuine passion for data and its potential to drive business value.
• Ability to work independently and as part of a distributed team.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline, or equivalent practical experience.
• Strong foundation in statistical concepts and mathematical principles.
• Basic programming knowledge, preferably in Python or R.
• Eagerness to learn and adapt to new technologies and methodologies.
• Excellent analytical and problem-solving skills.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A keen interest in data analysis and machine learning.
• Previous internship or project experience in data-related fields is a plus.

• Learn to collect, clean, and preprocess large datasets from various sources.
• Develop foundational skills in statistical analysis and data visualization.
• Gain practical experience with machine learning algorithms and predictive modeling techniques.
• Assist senior data scientists in developing and deploying data-driven solutions.
• Participate in data exploration and hypothesis testing to uncover meaningful patterns.
• Understand the principles of data storytelling and effectively communicate findings to diverse audiences.
• Work with various programming languages and tools commonly used in data science, such as Python and R.
• Contribute to ongoing projects, applying learned concepts to solve business problems.
• Receive ongoing feedback and mentorship from experienced data professionals.
• Engage in collaborative team projects to foster teamwork and problem-solving skills.