83 Data Science Intern jobs in Bahrain
Data Science Manager
Posted 6 days ago
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Job Description
2 months ago Be among the first 25 applicants
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
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrData Science Manager
Posted 6 days ago
Job Viewed
Job Description
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 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.
- 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
With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations. #J-18808-Ljbffr
Data Science Manager
Posted 6 days ago
Job Viewed
Job Description
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 SummaryWe 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.
- 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
Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
- Assisting in the collection, cleaning, and preprocessing of large datasets.
- Performing statistical analysis and applying machine learning algorithms under supervision.
- Developing data visualizations to communicate insights and findings.
- Contributing to the development and testing of predictive models.
- Collaborating with cross-functional teams to understand data needs and deliver solutions.
- Learning and applying new data science tools and methodologies.
- Documenting processes, methodologies, and results.
- Participating in team meetings and presenting findings.
- Developing a strong understanding of business problems and how data can solve them.
- Proactively identifying opportunities to improve data processes and analyses.
Graduate Trainee - Data Science
Posted 5 days ago
Job Viewed
Job Description
- Assisting in data cleaning, preprocessing, and feature engineering.
- Developing and implementing statistical models and machine learning algorithms.
- Conducting exploratory data analysis to identify trends and patterns.
- Creating compelling data visualizations to communicate findings.
- Participating in team meetings and contributing to project discussions.
- Learning and applying advanced data analysis techniques and tools.
- Collaborating with mentors to define project objectives and deliverables.
- Developing a portfolio of data science projects.
Graduate Trainee - Data Science
Posted 5 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Assisting in the collection, cleaning, and pre-processing of large datasets.
- Performing exploratory data analysis to identify trends and patterns.
- Developing and implementing machine learning models under supervision.
- Visualizing data and presenting findings to team members.
- Learning and applying various data science tools and programming languages (e.g., Python, R, SQL).
- Collaborating with cross-functional teams to understand data requirements.
- Contributing to the development of data-driven reports and dashboards.
- Participating in team meetings and knowledge-sharing sessions.
- Researching new data science techniques and methodologies.
- Assisting in the documentation of data processes and model development.
We are seeking candidates who have recently graduated (within the last 12 months) with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. A strong foundation in statistical concepts and programming is essential. Familiarity with data analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) is a significant advantage. Excellent problem-solving skills, attention to detail, and a strong desire to learn are paramount. Good communication and teamwork abilities are also important. This internship provides an exceptional platform to launch your career in the rapidly evolving field of data science and gain invaluable industry experience.
Data Science Graduate Program Lead
Posted 5 days ago
Job Viewed
Job Description
Key responsibilities include:
- Overseeing the design and execution of the graduate data science program, ensuring alignment with company objectives and industry best practices.
- Providing mentorship and technical guidance to graduate data scientists on their projects and career development.
- Developing and delivering training modules on advanced data science techniques, machine learning algorithms, and statistical modeling.
- Facilitating project-based learning experiences, helping graduates apply their skills to real-world business challenges.
- Evaluating the performance and progress of graduate participants, providing constructive feedback.
- Collaborating with hiring managers and HR to identify potential hires from the graduate pool and facilitate their integration into full-time roles.
- Keeping the program curriculum updated with the latest advancements in data science, AI, and machine learning.
- Organizing knowledge-sharing sessions, workshops, and networking events for the graduate cohort.
- Contributing to the company's data science initiatives by advising on research directions and technical challenges.
- Ensuring a positive and productive learning environment for all participants.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or AI, with a strong track record of success.
- Proven experience in mentoring, coaching, or managing junior data scientists or interns.
- Deep expertise in statistical analysis, predictive modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data visualization.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Familiarity with big data technologies and platforms (e.g., Spark, Hadoop).
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to a diverse audience.
- Strong project management and organizational skills.
- A passion for education, talent development, and fostering innovation.
- Understanding of the graduate recruitment and development lifecycle is a plus.
This is a unique opportunity to shape the future data science talent within our organization and contribute to groundbreaking projects.
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Graduate Trainee - Data Analysis
Posted 5 days ago
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Job Description
Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development of data models and algorithms for predictive analysis.
- Create insightful data visualizations and dashboards using tools like Tableau or Power BI.
- Collaborate with senior analysts to interpret data and generate actionable insights.
- Assist in preparing reports and presentations on data findings for stakeholders.
- Learn and apply statistical methods and machine learning techniques.
- Participate in team meetings and contribute to project discussions.
- Document data processes, methodologies, and findings.
- Develop skills in programming languages such as Python or R for data analysis.
- Support the maintenance and improvement of data infrastructure.
- Engage in continuous learning and professional development within the data analytics field.
Qualifications:
- 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 problem-solving skills.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
- Proficiency in Microsoft Excel.
- Eagerness to learn and a proactive approach to acquiring new skills.
- Good communication and teamwork abilities.
- Attention to detail and a commitment to data accuracy.
- Ability to work independently and manage time effectively.
Graduate Trainee - Data Analysis
Posted 5 days ago
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Job Description
Program Highlights:
- Immersive training in data analysis tools and methodologies (e.g., SQL, Python, R, Tableau).
- Practical experience working on real-world business projects.
- Exposure to business intelligence, data visualization, and statistical modeling.
- Mentorship from experienced data analysts and business leaders.
- Development of critical thinking, problem-solving, and communication skills.
- Opportunity to contribute to meaningful business insights and strategies.
- Structured learning path with clear milestones and feedback.
- Potential for full-time employment upon successful completion of the program.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in or strong willingness to learn programming languages such as Python or R.
- Familiarity with database concepts and SQL is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good communication and interpersonal skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work collaboratively in a team environment.
- Proactive attitude and a strong work ethic.
- Eligibility to work in Bahrain.