118 Data Analysis Tools jobs in Bahrain
Data Management Senior Specialist
GoWin Coaching
Posted 5 days ago
Job Viewed
Job Description
Job Title : Data Management Senior Specialist
Work Mode : On-Site
Employment Type : Full-Time
Job Brief
One of our esteemed clients is seeking a Data Management Senior Specialist to oversee and maintain data management technologies that support operations and data quality. This role ensures seamless data integration, master data management, and data warehouse environments while maintaining agreed service levels.
Responsibilities
Administration Activities :
- Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
- Oversee data management application upgrades, infrastructure changes, and data migrations.
- Plan and execute installation, configuration, deployment, and integration activities.
- Maintain, patch, and upgrade data management applications.
- Monitor and ensure optimal performance of data management applications.
- Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
- Build and maintain strong relationships with business teams and IT service providers.
- Document application functionalities, processes, and maintenance procedures.
ETL & Data Integration :
- Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
- Support and maintain data integration pipelines for periodic and real-time data loads.
- Optimize data processing performance to support near real-time operations.
- Gather business requirements and implement data validation rules.
- Assist data warehouse end-users in understanding and querying data.
- Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
- Implement data quality rules for standardization and cleansing.
- Generate data quality reports and support testing processes.
Qualifications
- Bachelor?s degree in Computer Science or related field.
- 7+ years of experience in data management and information systems.
- Strong knowledge of E&P processes, data management, and SQL Server 2019.
- Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
- Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
- Strong problem-solving and organizational skills.
Why Join Us?
- Work with cutting-edge data management technologies.
- Be part of a highly skilled and collaborative team.
- Opportunity to drive data-driven decision-making.
- Competitive salary, growth opportunities, and a great work environment.
If you?re passionate about data management and technology, we?d love to hear from you!
Application Instructions
If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.
Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!
Data Management Services Business Partner, Gulf & DM Business Analyst - Cash Management Product Insurance Management B.A. - Duales Studium (w/m/d) #J-18808-Ljbffr
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0
Data Science Manager
Manama, Capital
SWATX
Posted 5 days ago
Job Viewed
Job Description
Data Science Manager
4 weeks ago Be among the first 25 applicants
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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
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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Data Science Manager
Manama, Capital
The Family Office Company BSC (c)
Posted 5 days ago
Job Viewed
Job Description
About The Family Office Company
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
With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations. #J-18808-Ljbffr
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
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2
Data Science Manager
Manama, Capital
The Family Office Company
Posted 9 days ago
Job Viewed
Job Description
About The Family Office Company
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
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3
Data Science Apprentice
00410 Bilad Al Qadeem, Capital
BHD25000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a rapidly growing e-commerce startup located in **Sitra, Capital, BH**, is offering a unique Data Science Apprentice opportunity for motivated individuals eager to launch a career in data analytics and machine learning. This program provides hands-on training and mentorship, allowing apprentices to contribute to real-world projects while developing essential skills. You will gain practical experience in data cleaning, exploratory data analysis, feature engineering, and building predictive models using various statistical and machine learning techniques. Responsibilities include assisting senior data scientists in data gathering and preparation, running experiments, visualizing data to identify trends, and supporting the development of data-driven insights to optimize business operations and customer experiences. The ideal candidate will have a strong academic foundation in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or Engineering, with a demonstrable passion for data. Basic proficiency in a programming language like Python or R is preferred. Excellent analytical and problem-solving skills, a keen eye for detail, and a strong desire to learn are essential. While prior work experience in data science is not required, a strong portfolio of personal projects or academic research involving data analysis is a plus. Apprentices will receive comprehensive training in industry-standard tools and methodologies. This is an exceptional entry-level opportunity to immerse yourself in the exciting field of data science within a dynamic and supportive environment in **Sitra, Capital, BH**, and to build a strong foundation for a successful career.
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4
Graduate Trainee - Data Science and Analytics
515 Al Hidd
BHD15 Hourly
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is looking for ambitious and bright Graduate Trainees to join their Data Science and Analytics team in **Budaiya, Northern, BH**. This is an exceptional opportunity for recent graduates with a strong academic background and a keen interest in leveraging data to drive business insights and solutions. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, gaining hands-on experience in data collection, cleaning, processing, analysis, and visualization. You will be involved in various projects, contributing to the development of predictive models, machine learning algorithms, and business intelligence dashboards. Key responsibilities include assisting with data extraction from various sources, performing exploratory data analysis, identifying trends and patterns, and validating data integrity. You will also support the creation of reports and presentations to communicate findings to stakeholders. The ideal candidate will possess a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, obtained within the last 12 months. Strong analytical and problem-solving skills are essential, along with a solid understanding of statistical concepts. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Tableau) are highly desirable. Familiarity with SQL and database management is also a plus. Excellent communication skills, both written and verbal, are required, as you will need to articulate complex data concepts clearly. You must be a quick learner, detail-oriented, and capable of working effectively both independently and as part of a collaborative team. This program offers comprehensive training, mentorship, and exposure to real-world data challenges, providing a strong foundation for a career in data science. Embrace this chance to learn, grow, and make a tangible impact.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from diverse sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of statistical models and machine learning algorithms.
- Create data visualizations and dashboards to communicate insights.
- Assist in generating reports and presentations for business stakeholders.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Contribute to data quality assurance and validation efforts.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Support A/B testing and experimental design.
- Help in maintaining data documentation and code repositories.
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Graduated within the last 12 months.
- Strong analytical and problem-solving skills.
- Proficiency in Python or R for data analysis.
- Experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Knowledge of SQL and database concepts is a plus.
- Understanding of statistical principles and machine learning concepts.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and adapt to new technologies.
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5
Graduate Trainee - Data Science and Analytics
20015 Saar, Northern
BHD20 Hourly
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is looking for enthusiastic and driven Graduate Trainees to join their Data Science and Analytics program in **Saar, Northern, BH**. This program is designed to provide recent graduates with intensive training and hands-on experience in leveraging data to drive business insights and solutions. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects across various business units. You will gain exposure to the full data lifecycle, from data collection and cleaning to advanced statistical modeling and machine learning implementation. The training will cover essential tools and technologies such as Python, R, SQL, and various data visualization platforms. Key responsibilities will include assisting in the development of predictive models, analyzing large datasets to identify trends and patterns, and creating insightful reports and dashboards to communicate findings to stakeholders. You will participate in coding sessions, workshops, and mentorship activities designed to accelerate your professional development. We are seeking individuals with a strong academic background in quantitative fields like statistics, mathematics, computer science, economics, or engineering, who possess a keen analytical mind and a passion for problem-solving. A fundamental understanding of programming concepts and a genuine interest in artificial intelligence and big data are highly valued. This internship offers a unique opportunity to build a solid foundation in data science and kickstart a rewarding career in a fast-paced, innovative environment. The program emphasizes collaborative learning and encourages trainees to ask questions and actively participate in team discussions. You will be exposed to diverse business challenges, allowing you to apply your developing skills in practical scenarios. Successful completion of the internship may lead to an offer of full-time employment.
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6
Senior Data Science Manager
Manama, Capital
SWATX
Posted 5 days ago
Job Viewed
Job Description
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
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7
Senior Data Science Manager
Manama, Capital
SWATX
Posted 6 days ago
Job Viewed
Job Description
Senior Data Science Manager
4 weeks ago Be among the first 25 applicants
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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
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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8
Junior Data Science Apprentice
201 Bilad Al Qadeem, Capital
BHD25000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is committed to nurturing emerging talent and is offering a unique opportunity for a Junior Data Science Apprentice to kickstart their career in a fully remote, supportive environment. This apprenticeship is designed for enthusiastic individuals eager to learn and contribute to data-driven decision-making processes. You will work closely with our experienced data science team, gaining hands-on experience in data cleaning, exploratory data analysis, statistical modeling, and machine learning techniques. Your responsibilities will include assisting in the preparation of datasets for analysis, developing visualizations to communicate findings, and contributing to the development of predictive models. You will be exposed to various data science tools and programming languages, such as Python and R, and learn best practices in data management and interpretation. The ideal candidate is a recent graduate with a strong foundation in mathematics, statistics, or computer science, possessing a keen analytical mind and a genuine passion for data. While prior professional experience is not required, a demonstrable interest in data science through personal projects, academic coursework, or online certifications is highly valued. Excellent problem-solving skills, attention to detail, and the ability to learn quickly in a fast-paced, remote setting are essential. You will be expected to collaborate effectively with team members virtually, participate in code reviews, and actively seek feedback to enhance your skills. This apprenticeship provides a structured learning path, mentorship from industry professionals, and the potential for a full-time role upon successful completion. If you are a motivated self-starter ready to immerse yourself in the world of data science, this is the perfect launchpad for your career.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis and create visualizations.
- Support the development and testing of statistical and machine learning models.
- Contribute to data mining and pattern recognition tasks.
- Learn and apply data science tools and programming languages (e.g., Python, R).
- Document data analysis processes and findings.
- Collaborate with senior data scientists on project tasks.
- Participate in team meetings and knowledge-sharing sessions.
- Ensure data integrity and accuracy in all tasks.
- Adhere to data privacy and security protocols.
- Recent graduate with a degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and programming fundamentals.
- Proficiency in at least one programming language (e.g., Python, R).
- Eagerness to learn and apply data science techniques.
- Excellent analytical and problem-solving abilities.
- Good communication and collaboration skills for remote work.
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9