56 Data Science jobs in Bahrain
Data Science Manager
Posted 2 days ago
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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.
Responsibilities- Strategy & Leadership
Define the personalization and recommendation strategy aligned with business goals and client experience vision. - Team leadership
Lead, mentor, and grow a team of data scientists and machine learning engineers. - Cross-functional collaboration
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
- Governance & Compliance
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. - Real-time Processing
Implement real-time data processing pipelines for adaptive personalization. - Data Quality
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. - Metrics & Dashboards
Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
- 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.
Job Details- Seniority level : Mid-Senior level
- Employment type : Full-time
- Job function : Engineering and Information Technology
- Industry : Investment Management
- Location : Manama, Capital Governorate, Bahrain
Data Science Manager
Posted 10 days ago
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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
Data Science Intern
Posted 1 day ago
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Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of machine learning models and algorithms.
- Conduct exploratory data analysis (EDA) to identify trends and patterns.
- Visualize data and model results using relevant tools and libraries.
- Collaborate with the data science team on ongoing projects and research initiatives.
- Document code, methodologies, and findings thoroughly.
- Learn and apply new data science techniques and technologies.
- Participate in team meetings and contribute ideas for project improvements.
- Assist in the evaluation and testing of data models.
- Gain exposure to cloud computing platforms and big data technologies.
- Present findings and insights to the team at the conclusion of the internship.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundation in statistics, mathematics, and machine learning concepts.
- Familiarity with programming languages such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Ability to work independently and as part of a remote team.
- Strong written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Access to a reliable computer and high-speed internet connection.
- Prior personal projects or academic work in data science is a plus.
This internship is an ideal stepping stone for aspiring data scientists seeking practical experience and mentorship within a forward-thinking company. Embrace this chance to shape your career.
Senior Data Science Manager
Posted 10 days ago
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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
Graduate Data Science Analyst
Posted 1 day ago
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Responsibilities will include collecting, cleaning, and pre-processing large datasets from various sources. You will perform exploratory data analysis to identify trends, patterns, and insights, and assist in the development and implementation of statistical models and machine learning algorithms. You will also be involved in creating clear and compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders. As a Graduate Data Science Analyst, you will contribute to A/B testing, predictive modeling, and other data-driven initiatives. You will also participate in team meetings, research sessions, and training workshops, continuously expanding your knowledge and skillset. The role requires a keen eye for detail, a logical and analytical mindset, and a strong passion for data.
The ideal candidate will possess a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a closely related quantitative field, obtained within the last two years. Proficiency in programming languages such as Python or R is essential, along with a solid understanding of SQL for database querying. Familiarity with data visualization tools (e.g., Tableau, Power BI) and machine learning libraries (e.g., Scikit-learn, TensorFlow) is a plus. Strong problem-solving skills, excellent communication abilities, and a proactive attitude towards learning are crucial. You should be eager to work collaboratively in a team environment and possess a genuine enthusiasm for extracting meaningful insights from data. This internship offers a unique pathway to a rewarding career in data science, providing invaluable experience and exposure to cutting-edge technologies. Join our client and begin your journey towards becoming a data science expert.
Graduate Trainee - Data Science
Posted 1 day ago
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Remote Graduate Trainee - Data Science
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Junior Data Scientist - Predictive Analytics
Posted today
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The ideal candidate will possess a strong academic background in a quantitative field such as computer science, statistics, mathematics, or a related discipline. You should have a foundational understanding of statistical modeling, machine learning algorithms, and programming languages commonly used in data science, such as Python or R. Excellent problem-solving skills, a keen eye for detail, and a passion for uncovering patterns in data are essential. You will gain exposure to various data visualization techniques and tools to communicate findings effectively. This internship offers a unique opportunity to develop your skills in a collaborative, remote-first setting, working on real-world data challenges. We are looking for individuals who are eager to learn, contribute, and grow within the field of data science. You will be instrumental in exploring datasets and generating hypotheses.
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to identify trends and insights.
- Support the development and implementation of machine learning models.
- Assist in feature engineering and model evaluation.
- Develop data visualizations to communicate findings.
- Collaborate with senior data scientists on ongoing projects.
- Participate in team meetings and present initial findings.
- Research and apply new data science techniques.
- Contribute to documentation of data pipelines and models.
- Learn and utilize various data science tools and platforms.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language such as Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Understanding of data visualization tools and techniques.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, both written and verbal.
- Ability to work independently and as part of a remote team.
- A keen interest in data science and predictive analytics.
AI & Machine Learning Engineer, Predictive Analytics
Posted 1 day ago
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- Developing and implementing advanced machine learning models for predictive analytics.
- Conducting data mining, feature engineering, and exploratory data analysis.
- Evaluating and optimizing model performance using rigorous statistical methods.
- Deploying ML models into production environments and monitoring their effectiveness.
- Collaborating with data engineers and software developers to integrate AI solutions.
- Staying abreast of the latest advancements in AI, machine learning, and data science.
- Communicating complex findings and recommendations to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
- 3+ years of hands-on experience in machine learning and predictive modeling.
- Proficiency in Python or R, and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, algorithms, and data structures.
- Excellent analytical, problem-solving, and communication skills.
Graduate Trainee - Data Analysis
Posted today
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Key Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing tasks.
- Conduct exploratory data analysis to identify trends and patterns.
- Support the creation of reports, dashboards, and data visualizations.
- Help in interpreting data and generating insights for business stakeholders.
- Learn and apply various data analysis techniques and tools.
- Contribute to data quality assurance efforts.
- Participate in team meetings and present findings.
- Collaborate with senior analysts on ongoing projects.
- Develop foundational skills in statistical analysis and data modeling.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel; knowledge of SQL is a plus.
- Familiarity with programming languages like Python or R is advantageous.
- Excellent problem-solving abilities and attention to detail.
- Good communication and interpersonal skills.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team.