ai/ml specialists (data scientists/ ml engineer)

acc specialist

ai solutions engineer

ai/ ml specialist

ai/ml specialists (data scientists/ ml engineer) Jobs in Bahrain

business intelligence specialist Jobs in Bahrain

business intelligence specialist

ai ml specialists data scientists ml engineer

VAM Systems Inc

VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ ML Engineer) (On-Site) for our Bahrain operations with the following skillsets and terms &amp; conditions:Years of Experience: 7 &ndash; 10 yearsQualificationBachelor&rsquo;s Degree in Computer Science / Engineering Preferably BE Computer Science &amp; EngineeringProfessional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services. Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable. Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.Must-Have:Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measuresSeveral years of ML experience with implemented use cases. Hands-on work experience most of which in banking, financial institutions, or insurance industries.Experience required:Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms. Experience with model evaluation and performance metrics.Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering. Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management. Ability to communicate insights and build explainable AI models.Job Responsibility:Design and develop machine learning models to support AI-driven banking solutions Collaborate with data engineers to access and prepare data for modeling Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit scoring) Evaluate model performance and optimize for accuracy, precision, and recall Deploy models into production using MLOps frameworks and CI/CD pipelines Ensure models are explainable, auditable, and compliant with regulatory standards Work with business stakeholders to identify AI opportunities and define success metrics Document model assumptions, data sources, and performance benchmarks.Core AI / NLP Engineering<ul><li>Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)</li><li>LLM fine-tuning (LoRA, PEFT, prompt tuning)</li><li>Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)</li><li>Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)</li><li>Knowledge of embeddings, tokenization, and transformer architecture</li><li>Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch</li></ul>Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)Software Engineering &amp; Backend IntegrationRESTful and GraphQL APIs, webhooks<ul><li>Containerization and deployment (Docker, Kubernetes, CI/CD)</li><li>Authentication and user/session management</li><li>Data pipelines and microservices</li><li>Knowledge of frameworks like FastAPI, Flask, NestJS, or Express</li><li>Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)</li></ul>Agent Orchestration &amp; Tooling <ul><li>LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks</li><li>Task-decomposition and reasoning chains</li><li>Function calling, tool use, and API chaining</li><li>Memory design (short-term vs long-term)</li><li>Context management and grounding strategies.</li></ul>Conversational UX / Design <ul><li>Conversation design frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress)</li><li>Flow design and intent management (Dialogflow, Rasa, Cognigy)</li><li>Tone, empathy, and personality design for AI personas</li><li>A/B testing dialogue variants and measuring user satisfaction.</li></ul>Data &amp; Infrastructure Data pipelines (Airflow, dbt, Kafka)<ul><li>Structured/unstructured data ingestion (PDFs, databases, APIs)</li><li>Feature store and model registry management (MLflow, Kubeflow)</li><li>Vector database deployment and optimization</li><li>Monitoring, logging, and drift detection.</li></ul>Governance, Security &amp; Compliance <ul><li>Model explainability (SHAP, LIME)</li><li>Bias/fairness audits and data privacy</li><li>Compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations</li><li>Secure prompt logging and audit trails.</li></ul>Products &amp; Strategy <ul><li>Translating business problems into AI use cases</li><li>Roadmapping and budget planning</li><li>KPI design (accuracy, user satisfaction, automation ROI)</li><li>Vendor management (OpenAI, Anthropic, AWS, etc.)</li><li>Change management and user adoption</li></ul>Joining time frame: (15 - 30 days)Job Type: Full-time

AI/ML Specialists (Data Scientists/ ML Engineer)

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Bahrain
 
 , we are looking for an experienced
 
 AI/ML Specialist (Engineer &ndash; Data Platform)
 
 . This role is focused on designing, developing, and deploying advanced machine learning solutions to support digital transformation initiatives in the banking sector. The successful candidate will bring deep expertise in ML, NLP, cloud AI platforms, and MLOps, with a strong background in financial services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 <ul>
 <li>
 Design and develop ML models for banking use cases (fraud detection, credit scoring, churn prediction, personalization).
 </li>
 <li>
 Collaborate with data engineers to prepare and preprocess data.
 </li>
 <li>
 Evaluate and optimize models for accuracy, precision, and recall.
 </li>
 <li>
 Deploy models using MLOps frameworks and CI/CD pipelines.
 </li>
 <li>
 Ensure explainability, compliance, and auditability of models.
 </li>
 </ul>
 
 
 
 
 
 Core AI/NLP Engineering
 
 
 <ul>
 <li>
 Work with Python frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude).
 </li>
 <li>
 Fine-tune LLMs (LoRA, PEFT, prompt tuning).
 </li>
 <li>
 Implement RAG pipelines and vector databases (Pinecone, FAISS, Weaviate, Chroma).
 </li>
 <li>
 Apply prompt engineering and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
 </li>
 </ul>
 
 
 
 
 
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 Develop APIs (RESTful, GraphQL), webhooks, and microservices.
 </li>
 <li>
 Containerize and deploy applications (Docker, Kubernetes).
 </li>
 <li>
 Integrate with enterprise systems (SharePoint, Salesforce, SQL).
 </li>
 </ul>
 
 
 
 
 
 Agent Orchestration &amp; Conversational AI
 
 
 <ul>
 <li>
 Utilize agent frameworks (LangGraph, AutoGen, CrewAI, Flowise).
 </li>
 <li>
 Design conversational UX with frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress).
 </li>
 <li>
 Conduct A/B testing and optimize user satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Infrastructure
 
 
 <ul>
 <li>
 Build pipelines with Airflow, dbt, Kafka.
 </li>
 <li>
 Manage feature stores and model registries (MLflow, Kubeflow).
 </li>
 <li>
 Monitor models for drift and performance issues.
 </li>
 </ul>
 
 
 
 
 
 Governance, Security &amp; Compliance
 
 
 <ul>
 <li>
 Conduct bias/fairness audits.
 </li>
 <li>
 Ensure compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations.
 </li>
 <li>
 Implement secure logging and audit trails.
 </li>
 </ul>
 
 
 
 
 
 Product Strategy &amp; Business Alignment
 
 
 <ul>
 <li>
 Translate business problems into AI use cases.
 </li>
 <li>
 Define KPIs (accuracy, ROI, user satisfaction).
 </li>
 <li>
 Manage vendors and drive adoption of AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s Degree in Computer Science (BE in Computer Science &amp; Engineering).
 </li>
 <li>
 
 Experience:
 
 7&ndash;10 years in AI/ML engineering, preferably in banking and IT transformation.
 </li>
 <li>
 
 Professional Training:
 
 Machine Learning, Deep Learning, MLOps, AI in Financial Services.
 </li>
 <li>
 
 Certifications:
 
 </li>
 <li>
 Google Professional ML Engineer
 </li>
 <li>
 Microsoft AI Engineer Associate
 </li>
 <li>
 TensorFlow Developer Certificate
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 </ul>
 
 
 
 
 Skills &amp; Competencies
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Statistics &amp; Finance knowledge
 </li>
 <li>
 Data Preprocessing &amp; Feature Engineering
 </li>
 <li>
 Model Deployment &amp; MLOps
 </li>
 <li>
 Cloud AI Platforms (Azure ML, AWS SageMaker, Vertex AI)
 </li>
 <li>
 Explainable AI (XAI) &ndash; SHAP, LIME
 </li>
 <li>
 Statistical Analysis
 </li>
 <li>
 Business Problem Solving
 </li>
 </ul>
 
 
</div>

AI/ ML Specialist

Gulf University Bahrain

Job ProfileJob titleAI Solutions EngineerUnit name: Digital Transformation CenterReports to: Director of Digital Transformation Center &amp; IT ManagerIntroduction: Gulf University is a nationally accredited University which was established by his highness&rsquo;s the prime minister&rsquo;s cabinet decree number 1649-03 issued on the 2nd of September 2001. GU aims to establish itself as a distinguished provider of higher education that will appeal to international, Bahraini and GCC students who prefer to be educated in a cultural environment acceptable to parents, students, and labor market alike.IT Department is ensuring properly functioning and configured network devices, computers, secure access to facilities provided by the servers, such as applications and data storage areas, access to the systems, internet, and e-mail.Job Overview: We are seeking a highly skilled AI Solutions Engineer with strong expertise in AI development, automation systems, machine learning, LLM applications, and engineering‑based implementation of AI solutions. The candidate will lead all university AI projects end‑to‑end, including design, development, integration, training, and deployment.1. Required Qualifications and Experience: &middot; Bachelor&rsquo;s degree in computer science, engineering, AI, Data Science, or a related field (or equivalent work experience).&middot; Proven hands-on experience as a senior developer, with at least 4-5 years of AI development experience, server management, and Git version control system.&middot; Expertise in Python, machine learning frameworks (TensorFlow, PyTorch), n8n, LLM platforms, OpenAI, Azure AI, Google Vertex AI, or similar.&middot; Experience deploying AI models using Docker/Kubernetes.&middot; Solid understanding of API integration, including RESTful and SOAP APIs.&middot; Proficiency in Azure DevOps for project management and continuous integration/continuous deployment (CI/CD) pipelines.&middot; High commitments in deadline management and prioritization in a fast-paced environment.&middot; Advanced knowledge of database design principles, complex query optimization, and performance tuning.&middot; Familiarity with reporting tools and techniques for generating dashboards, actionable insights from data.&middot; Excellent communication skills and the ability to collaborate effectively with cross-functional teams.&middot; Demonstrated leadership abilities and experience mentoring junior developers.&middot; Strong attention to detail and a commitment to delivering high-quality code.2. Preferred qualifications and experience&middot; Master&rsquo;s / Bachelor&rsquo;s degree in computer science, engineering, or a related field.&middot; Certifications in relevant technologies such as AI, Clouds, Laravel, Azure, or Git.&middot; Experience with containerization technologies such as Docker and Kubernetes.&middot; Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).&middot; Previous experience working on AI-driven projects or applications.&middot; Contributions to open-source projects or participation in developer communities.3. Required Skills: &middot; AI/ML development: Understanding of artificial intelligence concepts and their applications in backend development. Awareness of machine learning algorithms and frameworks.&middot; Generative AI and LLM pipelines: Ability to build and deploy AI solutions using large language models (LLMs) for tasks such as text generation, automation, intelligent search, and RAG-based systems.&middot; Cloud AI platforms: Experience using cloud AI services (Azure AI, Vertex AI, AWS SageMaker) to train, deploy, and manage AI models securely and at scale.&middot; Automation and workflow optimization: Skilled in automating university processes, integrating systems, and creating efficient workflows that reduce manual work and improve operational performance.&middot; Git Version Control System: In-depth understanding of Git version control system for codebase management, collaboration, and version tracking.&middot; API Integration: Demonstrated expertise in integrating third-party APIs and services, including RESTful and SOAP APIs, to enhance system functionality and interoperability.&middot; Azure DevOps: Hands-on experience with Azure DevOps for project management, continuous integration, and deployment pipelines.&middot; Projects &amp; Deadline Management: Strong ability to manage project timelines effectively, prioritize tasks, and deliver high-quality code within specified deadlines.&middot; Complex Database Queries: Proficient in developing and optimizing complex database queries for efficient data retrieval and manipulation.&middot; Dashboards &amp; Reports: Experience in generating insightful reports and dashboards to provide stakeholders with valuable insights.&middot; Communication and Collaboration: Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including front-end developers, UX/UI designers, and stakeholders.&middot; Leadership and Mentorship: Demonstrated leadership abilities and experience mentoring junior developers, providing guidance on best practices, coding standards, and emerging technologies.Job Type: Full-timeWork Location: In person

AI Solutions Engineer

Sellou

<div>
 About the Job
 
 
 
 
 We are looking for a&nbsp;
 
 Senior Software Engineer
 
 &nbsp;to join our backend team. The ideal candidate is proficient in&nbsp;
 
 TypeScript
 
 , understands&nbsp;
 
 AWS
 
 , and possesses a deep technical curiosity regarding AI backend infrastructure&mdash;from the evolution of MCPs to modern prompt engineering.
 
 
 We need someone with a deep understanding of the&nbsp;
 
 OpenClaw
 
 &nbsp;architecture.
 
 
 
 
 
 You should be adept at navigating complex structural challenges, particularly regarding how systems handle memory and persistent storage.
 
 We want a candidate passionate about OpenClaw is interested in evolving its capabilities.
 
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 <ul>
 <li>
 
 Architect Backend Systems:
 
 &nbsp;Design and maintain robust, scalable, cloud-native backend services using TypeScript.
 </li>
 <li>
 
 OpenClaw Optimization:
 
 &nbsp;Dive deep into the OpenClaw framework to resolve structural bottlenecks and optimize critical components like&nbsp;
 
 heartbeats
 
 .
 </li>
 <li>
 
 Memory Management:
 
 &nbsp;Lead the transition of key data paths from traditional storage to&nbsp;
 
 persistent memory
 
 &nbsp;to drive performance gains.
 </li>
 <li>
 
 Legacy Analysis:
 
 &nbsp;Apply lessons learned from the failure of&nbsp;
 
 MCPs
 
 &nbsp;(Master Control Programs) to ensure our current architecture avoids historical pitfalls.
 </li>
 <li>
 
 Cloud Evolution:
 
 &nbsp;Leverage AWS to build and maintain infrastructure that supports high-concurrency AI workloads.
 </li>
 <li>
 
 AI Integration:
 
 &nbsp;Experiment with and self-host AI tools to optimize internal development workflows and system performance.
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 
 We value technical curiosity and a "builder" mindset over a specific checklist of years, but ideally, you bring the following:
 
 <ul>
 <li>
 
 Deep Backend Expertise:
 
 &nbsp;Proven experience building high-performance distributed systems in a cloud environment (Node.js/TypeScript preferred).
 </li>
 <li>
 
 OpenClaw Mastery:
 
 &nbsp;
 
 Significant experience with OpenClaw, specifically regarding its memory management and structural architecture.
 
 </li>
 <li>
 
 Historical Context:
 
 &nbsp;A strong understanding of the evolution of MCPs, why they failed, and how to apply those lessons to modern systems.
 </li>
 <li>
 
 Systems Optimization:
 
 &nbsp;Experience optimizing low-latency components and moving data across the storage hierarchy (Storage &rarr; Persistent Memory).
 </li>
 <li>
 
 Cloud Proficiency:
 
 &nbsp;Advanced knowledge of&nbsp;
 
 AWS
 
 &nbsp;(EC2, S3, RDS, Lambda) or a demonstrated ability to master complex cloud stacks rapidly.
 </li>
 <li>
 
 AI/LLM Curiosity:
 
 &nbsp;A track record of experimenting with AI tools, such as self-hosting local models or using AI to automate system optimizations.
 </li>
 <li>
 
 Problem Solver:
 
 &nbsp;A "tinkerer" spirit&mdash;someone who runs a home lab or contributes to open-source projects in their spare time.
 </li>
 </ul>
</div>

Full Stack Developer - OpenClaw

<div><div><div>Join the frontier of energy innovation. In a range of career paths, you&rsquo;ll gain real experience on-site while using your expertise to deliver leading tech solutions. 
As a Field Engineer, you will be involved in every part of our business. From acquiring essential data to planning long-term well development, you will organize, run, and report operations in the field environment and assist Specialists and other Engineers with key decisions. Your training will be hands-on as you learn about the energy industry and become an expert in the various tools and services in your business line. With the help of management and a comprehensive development program, you will be given responsibility and support to make your impact and start becoming a leader in our business. 
Our Field Specialists focus on the vital technical and operational procedures that ensure our sites are safe and our customers get exceptional service. You will receive intensive instruction in troubleshooting, safety, and client interaction to develop a deep technical understanding of what we do. Through a combination of hands-on learning and formal training, you will become the company&rsquo;s representative on-site, with supervisory responsibility, working through a range of complex, practical challenges and developing innovative strategies to solve them. 
As a Field Technical Analyst, you will provide technical expertise to teams across the site and use your knowledge to help them deliver exceptional service. Using a variety of tools and techniques, you will apply your theoretical understanding to the practical challenges we face on-site every day. This includes creating formation evaluation logs and helping to analyze and interpret cuttings to determine rock type and hydrocarbon presence. You will also help monitor the well parameters and maintain sensors to understand well conditions. An extensive development program will expand your technical knowledge and hands-on skillset. 
Responsibilities<ul><li><div> 
Perform operations, operate equipment, and be accountable for team wellsite performance by the end of your training</div></li><li><div>
Manage field operations, including engineering design, maintenance, job planning, and operational reporting</div></li><li><div>
Learn the well construction process and understand the role of different service companies</div></li><li><div>
Support engineers and specialists on-site and help with essential duties, such as risk analysis</div></li></ul><ul><li><div>
Effectively manage a crew and/or processes within a year</div></li><li><div>
Help prepare wellsite reports and post-job debriefings</div></li><li><div>
Actively contribute to continuous improvement culture across the business</div></li></ul> 
Qualifications and Experience<ul><li><div>
Meet minimum degree/experience requirements</div></li><li><div>
Good verbal and written communication skills</div></li><li><div>
Fluency in written and spoken English</div></li><li><div>
Quick learner able to use logic to solve problems</div></li><li><div>
Be personally committed to continuous improvement</div></li></ul><ul><li><div>
Evidence of leadership and teamwork skills</div></li></ul>
<div><div>
</div></div></div></div><div><div><div><div>Benefits
</div></div></div></div><div><div><div><div>International Opportunities
<div>Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
</div></div></div><div><div>Insurance
<div>Health, vision, and dental insurance for you and your dependents available from day one.
</div></div></div><div><div>Learning Opportunities
<div>Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
</div></div></div><div><div>Diverse and
Inclusive
<div>Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.
</div></div></div></div></div><div><div><div><div>About Us
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.
Global in outlook, local in practice &ndash; and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. 
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.</div></div></div></div></div>

Early Careers - Field Operations

Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 We are hiring a
 
 Lead Data Governance Engineer
 
 with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.
 
 
 The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Define, monitor, and execute data governance policies
 </li>
 <li>
 Design, implement, and maintain tooling for automated data mesh operations
 </li>
 <li>
 Deploy and operate services developed by the team
 </li>
 <li>
 Depending on your seniority, coach, mentor, and offer career development feedback
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with data quality, governance, and security processes and tools
 </li>
 <li>
 Experience with software development in Python and SQL
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and security experience
 </li>
 <li>
 Experience with Airbyte, Ranger, Superset, Temporal, or Trino
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Lead Data Governance Engineer

stc pay Bahrain

<div>
 
 Job Specifications:
 
 
 
 Business Intelligence &amp; Analytics
 
 
 <ul>
 <li>
 Participate in analyzing customer data and transaction patterns to identify trends, anomalies, and opportunities for revenue growth, cost optimization, and performance improvement.
 </li>
 <li>
 Support Product, Marketing, Operations, and Finance teams with actionable data-driven insights and recommendations to enhance decision-making.
 </li>
 <li>
 Conduct cohort analysis, customer segmentation, churn analysis, and funnel tracking to better understand customer lifecycle, engagement, and retention.
 </li>
 <li>
 Perform deep-dive analysis on payment flows, transaction success rates, campaign effectiveness, and key revenue drivers.
 </li>
 <li>
 Translate complex analytical findings into clear, actionable recommendations aligned with business objectives.
 </li>
 <li>
 Continuously enhance analytics frameworks, reporting methodologies, and performance measurement standards to improve business visibility.
 </li>
 </ul>
 
 
 Visualization &amp; Reporting
 
 
 <ul>
 <li>
 Design and develop interactive dashboards and visualizations using BI tools (e.g., Tableau, Power BI, Looker) to monitor products, services, and KPIs.
 </li>
 <li>
 Develop automated and scalable reporting solutions to track business metrics including acquisition, activation, engagement, retention, and revenue performance.
 </li>
 <li>
 Prepare executive-ready presentations and deliver clear data storytelling to stakeholders across the organization.
 </li>
 </ul>
 
 
 AI-Driven Analytics &amp; Innovation
 
 
 <ul>
 <li>
 Leverage AI tools (e.g., ChatGPT, Claude, GitHub Copilot) to optimize SQL development, automate workflows, and accelerate analytics processes.
 </li>
 <li>
 Utilize AI-assisted techniques for exploratory analysis, pattern recognition, hypothesis generation, and data validation.
 </li>
 <li>
 Stay up to date with emerging AI and analytics technologies and integrate relevant innovations into daily operations to enhance efficiency and insight quality.
 </li>
 </ul>
 
 
 Data Architecture, Governance &amp; Infrastructure
 
 
 <ul>
 <li>
 Participate in designing and maintaining scalable data architecture, data lakes, and data models to support current and future analytics needs.
 </li>
 <li>
 Establish and monitor data pipelines and ETL processes to ensure data accuracy, reliability, and availability.
 </li>
 <li>
 Implement data governance standards, including data quality monitoring, validation controls, and documentation practices.
 </li>
 <li>
 Collaborate with engineering teams to optimize data collection, storage, and performance strategies.
 </li>
 </ul>
 
 
 Change Management, Continuous Improvement &amp; Compliance
 
 
 <ul>
 <li>
 Identify opportunities to improve analytics systems, processes, and practices in line with industry best practices and business objectives.
 </li>
 <li>
 Research regional and global analytics trends to recommend and implement enhancements.
 </li>
 <li>
 Ensure compliance with internal policies, data governance standards, and relevant regulatory requirements while safeguarding data integrity and confidentiality.
 </li>
 </ul>
 
 
 
 
 Qualification &amp; Experience:
 
 
 
 Minimum requirement:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Economics, or any related field
 </li>
 <li>
 Proficiency in English language
 </li>
 <li>
 Minimum 4-6 years of relevant experience
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Proficiency in Arabic language
 </li>
 </ul>
 
 
 
</div>

Business Intelligence Specialist

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