data quality / data governance specialist - banking Jobs in Manama

data quality / data governance specialist - banking

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data engineer- sas- banking Jobs in Manama

data engineer- sas- banking

data science manager

sr. strategy & data analytics specialist Jobs in Manama

sr. strategy & data analytics specialist

data scientist

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for Power BI - Banking for our Bahrain operations with the following skillsets &amp; terms and conditions: 
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master&rsquo;s degree is preferred.</li></ul>
Certifications:
<ul><li>Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</li></ul> 
Required experience: Minimum of 5&ndash;8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector. 
Technical Proficiency: 
<ul><li>Advanced expertise in data visualization and statistical plotting using tools such as Power</li><li>
BI, Python, and Matlab.</li><li>
Strong command of SQL for querying, data modeling, and ETL development.</li><li>
Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.</li><li>
Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.</li><li>
Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</li></ul> 
Analytical &amp; Modeling Skills: 
<ul><li>Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.</li><li>
Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.</li><li>
Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</li></ul> 
Competencies: 
<ul><li>Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.</li><li>
Analytical &amp; Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and</li><li>
derive actionable insights that support strategic decision-making.</li><li>
Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize</li><li>
queries for performance and scalability.</li><li>
Communication &amp; Presentation: Excellent verbal and written communication skills, with the ability to present</li><li>
complex data findings clearly and persuasively to both technical and non-technical stakeholders.</li><li>
Collaboration &amp; Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and</li><li>
adaptable mindset in fast-paced environments.</li></ul> 
Terms and conditions
Joining time frame: (15 - 30 days)</div>

Power BI - Banking

Sr. Strategy & Data Analytics Specialist

VAM Systems

<div>
 
 Job Description
 
 
 
 VAM Systems is currently looking for
 
 Power BI - Banking
 
 for our Bahrain operations with the following skillsets &amp; terms and conditions:
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master&rsquo;s degree is preferred.
 
 
 </li>
 </ul>
 
 Certifications:
 
 
 
 <ul>
 <li>
 Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.
 
 
 </li>
 </ul>
 
 Required experience
 
 : Minimum of 5&ndash;8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.
 
 
 
 Technical Proficiency:
 
 
 
 <ul>
 <li>
 Advanced expertise in data visualization and statistical plotting using tools such as Power
 </li>
 <li>
 BI, Python, and Matlab.
 </li>
 <li>
 Strong command of SQL for querying, data modeling, and ETL development.
 </li>
 <li>
 Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
 </li>
 <li>
 Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
 </li>
 <li>
 Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.
 
 
 </li>
 </ul>
 
 Analytical &amp; Modeling Skills:
 
 
 
 <ul>
 <li>
 Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
 </li>
 <li>
 Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
 </li>
 <li>
 Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.
 
 
 </li>
 </ul>
 
 Competencies:
 
 
 
 <ul>
 <li>
 Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
 </li>
 <li>
 Analytical &amp; Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
 </li>
 <li>
 derive actionable insights that support strategic decision-making.
 </li>
 <li>
 Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
 </li>
 <li>
 queries for performance and scalability.
 </li>
 <li>
 Communication &amp; Presentation: Excellent verbal and written communication skills, with the ability to present
 </li>
 <li>
 complex data findings clearly and persuasively to both technical and non-technical stakeholders.
 </li>
 <li>
 Collaboration &amp; Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
 </li>
 <li>
 adaptable mindset in fast-paced environments.
 
 
 </li>
 </ul>
 Terms and conditions
 
 
 Joining time frame: (15 - 30 days)
</div>

The Family Office Company BSC (c)

<div>
 🚀 Join The Family Office as an Associate AI Engineer
 
 
 Are you a recent graduate in Computer Science, Software Engineering, or Data Science, ready to turn your passion for AI into real-world impact?
 
 
 We&rsquo;re looking for an
 
 Associate AI Engineer
 
 to join our team at
 
 The Family Office (TFO)
 
 . This role offers hands-on experience with cutting-edge AI projects, mentorship from experienced engineers, and the opportunity to shape the future of intelligent systems in enterprise environments
 
 
 🌟 Why Join TFO?
 
 
 At The Family Office, we live and work by our core values:
 
 
 <ul>
 <li>
 Trust
 </li>
 <li>
 Transparency
 </li>
 <li>
 Honesty
 </li>
 <li>
 Commitment
 
 
 </li>
 </ul>
 You&rsquo;ll be part of a forward-thinking, collaborative team solving real business problems using advanced AI tools such as Azure OpenAI, MLOps pipelines, and real-time observability platforms
 
 
 💼 What You&rsquo;ll Do
 
 
 
 🔧 AI Model Development
 
 
 
 <ul>
 <li>
 Fine-tune LLMs and build prompt-driven solutions using Azure OpenAI.
 </li>
 <li>
 Develop data preprocessing pipelines (cleaning, tokenization, normalization).
 </li>
 <li>
 Contribute to Retrieval-Augmented Generation (RAG) and Document Intelligence implementations.
 
 
 </li>
 </ul>
 
 🔁 MLOps &amp; Lifecycle Management
 
 
 
 <ul>
 <li>
 Implement Azure ML Pipelines, MLflow, and DVC for version control and tracking.
 </li>
 <li>
 Monitor model performance using Azure Monitor and Application Insights.
 </li>
 <li>
 Maintain AI notebooks and experiments through Azure AI Studio (Foundry).
 
 
 </li>
 </ul>
 
 🤝 Collaboration &amp; Learning
 
 
 
 <ul>
 <li>
 Work closely with Senior AI Engineers, Data Scientists, DataOps, and PlatformOps.
 </li>
 <li>
 Participate in peer reviews, documentation, and continuous learning.
 
 
 </li>
 </ul>
 
 ✅ Quality &amp; Delivery
 
 
 
 <ul>
 <li>
 Ensure code quality, documentation standards, and timely delivery.
 </li>
 <li>
 Contribute to testing, validation, and integration of AI solutions into production.
 
 
 </li>
 </ul>
 🎓 Who We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Recent graduates in Computer Science, AI, ML, or Data Science.
 </li>
 <li>
 Hands-on experience in AI/ML projects.
 </li>
 <li>
 Fast learners with a strong desire to grow in a dynamic, supportive environment.
 </li>
 <li>
 Bonus: Experience with Azure AI services or certifications like Azure AI Fundamentals.
 
 
 </li>
 </ul>
 🛠️ Tools &amp; Technologies
 
 
 <ul>
 <li>
 Languages: Python, SQL, JSON
 </li>
 <li>
 Frameworks: PyTorch, Hugging Face Transformers
 </li>
 <li>
 MLOps: Azure ML, Azure AI Studio, MLflow, DVC
 </li>
 <li>
 DataOps: Azure Data Factory, Synapse, Data Lake
 </li>
 <li>
 Monitoring: Azure Monitor, Application Insights
 </li>
 <li>
 AI: Prompt engineering, fine-tuning, OpenAI APIs, Azure OpenAI
 
 
 </li>
 </ul>
 🌱 Ready to Launch Your AI Career?
 
 
 This isn&rsquo;t just a job&mdash;it&rsquo;s your launchpad into the future of enterprise AI. If you're curious, driven, and eager to build real-world solutions with impact, we&rsquo;d love to hear from you.
 
 
 📩
 
 Apply today
 
 and take the first step toward shaping the future with AI.
 
 
 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.
</div>

Associate AI Engineer (Bahrain)

<div>
 
 Job Summary
 
 
 
 We are seeking a
 
 Data Science Manager &amp; 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&mdash;ideally in fintech, digital wealth, or consumer platforms.
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Strategy &amp; Leadership
 
 
 
 
 <ul>
 <li>
 Define the personalization and recommendation strategy aligned with business goals and client experience vision.
 </li>
 <li>
 Lead, mentor, and grow a team of data scientists and machine learning engineers.
 </li>
 <li>
 Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
 
 
 </li>
 </ul>
 
 
 Data Science &amp; Modeling
 
 
 
 
 <ul>
 <li>
 Design, build, and deploy ML/AI models for:
 </li>
 <ul>
 <li>
 Personalized investment recommendations
 </li>
 <li>
 Smart content curation
 </li>
 <li>
 Behavioral and predictive analytics
 </li>
 <li>
 Funnel optimization and conversion predictions
 </li>
 </ul>
 <li>
 Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
 </li>
 <li>
 Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
 </li>
 </ul>
 
 
 Personalization Infrastructure
 
 
 
 
 <ul>
 <li>
 Architect and oversee the personalization engine powering mobile, web, and CRM systems.
 </li>
 <li>
 Implement real-time data processing pipelines for adaptive personalization.
 </li>
 <li>
 Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
 
 
 </li>
 </ul>
 
 
 Client-Centric Data Insights
 
 
 
 
 <ul>
 <li>
 Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
 </li>
 <li>
 Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
 
 
 </li>
 </ul>
 
 Key Attributes &amp; Competencies
 
 
 
 <ul>
 <li>
 Strong product sense with a deep understanding of client behavior in digital financial services.
 </li>
 <li>
 A passion for using data to improve lives and decision-making for HNW individuals.
 </li>
 <li>
 Strategic and hands-on: able to drive vision and execute technical implementation.
 </li>
 <li>
 Collaborative leadership and stakeholder communication skills.
 </li>
 <li>
 Highly analytical with strong attention to detail and data integrity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Data Science, Machine Learning, Computer Science, or related field.
 </li>
 <li>
 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
 </li>
 <li>
 Proven experience developing personalization and recommendation systems at scale.
 </li>
 <li>
 Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
 </li>
 <li>
 Background in fintech, wealth management, or e-commerce personalization is a strong plus
 </li>
 </ul>
</div>

Data Science Manager

<div>Job Description 
We are currently looking for Data Quality / Data Governance specialist for our Bahrain operations with the following skillsets &amp; terms and conditions:
Education
<ul><li>Minimum bachelor&rsquo;s degree in engineering, MSC in Data &amp; Analytics, or relevant discipline.</li></ul>
Experience<ul><li>Minimum of 5-year experience in banking or financial services.</li></ul>
Skills
<ul><li>Data Governance &amp; Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.</li><li>Data Quality &amp; Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.</li><li>Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.</li><li>Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL , SAS, Oracle SQL.</li><li>Banking &amp; Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.</li><li>Project Management: very good understanding of project management imperatives and adherence to the processes.</li><li>Organizational &amp; Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.</li><li>Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.</li></ul> 
Responsibilities 
<ul><li>Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.</li><li>Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.</li><li>Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.</li><li>Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.</li><li>Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.</li><li>Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.</li><li>Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.</li><li>Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management</li></ul> 
Terms and conditions
Joining time frame: (15 - 30 days)</div>

Data Quality / Data Governance specialist - Banking

Explore 155+ Data scientist in Manama this October. Find roles across top companies and apply now to boost your career.

155 data scientist jobs IN Manama

Power BI - Banking

Sr. Strategy & Data Analytics Specialist

Power BI - Banking

Associate AI Engineer (Bahrain)

Associate AI Engineer (Bahrain)

Data Science Manager

Data Quality / Data Governance specialist - Banking