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

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lead data governance engineer Jobs in Manama

lead data governance engineer

software engineer - data infrastructure - kafka Jobs in Manama

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)

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

<div>
 Canonical is a leading provider of open source software and operating systems to the 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 75+ 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 looking for an outstanding
 
 content marketing team manager
 
 to lead our content efforts and manage a team of brilliant writers and content strategists. Canonical has a robust portfolio of open source products and offers support for a wide range of open source technologies. This role is for someone who cares deeply about narrative quality and wants to elevate our brand positioning. It requires process discipline and creative smarts, leadership skills and performance-driven strategy to ensure our content aligns with our business objectives.
 
 
 The ideal candidate is passionate about technology, technology marketing and the use of technology in marketing. They would love to gain experience optimizing content processes, coaching others on their narrative skills and building brand authority. They enjoy learning and improving themselves, the team and the organization. They problem solve, get hands-on, experiment, measure and use automation to make daily life easier. To succeed in this role, the candidate must be metrics-driven, highly organized and skilled at team development, capacity planning and cross-functional collaboration.
 
 
 This role reports to the Director of Communications.
 
 
 
 Location:
 
 This role is home based in the EMEA region.
 
 
 What your day will look like
 
 
 <ul>
 <li>
 Develop and execute a content marketing strategy that aligns with our business goals, SEO and brand.
 </li>
 <li>
 Manage our content calendar end to end, ensuring content is efficiently produced with minimum friction and process clarity.
 </li>
 <li>
 Ensure content quality, consistency and brand alignment in everything we produce.
 </li>
 <li>
 Collaborate with our web and growth engineering teams to optimize content for search engines, building on proven SEO expertise.
 </li>
 <li>
 Supervise quarterly content planning sessions and work closely with content specialists, product management and marketing to optimize content plans.
 </li>
 <li>
 Monitor and report on KPIs for our content program and use analytics tools to identify improvement opportunities.
 </li>
 <li>
 Align messaging to ensure integrated campaign support across channels, working closely with our marketing, product and brand teams.
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 At least 5 years of work experience in content or related roles, preferably at technology companies, with 2+ years of experience as a manager or team lead.
 </li>
 <li>
 Proven experience creating authoritative and engaging content. Portfolio of written work required.
 </li>
 <li>
 Applied knowledge of SEO, experience with SEO tools and SEO-driven content calendars.
 </li>
 <li>
 Excellent project management and interpersonal skills with the ability to create highly efficient processes for content production and reuse.
 </li>
 <li>
 Bachelor's degree in marketing, communications or a relevant discipline.
 </li>
 <li>
 Someone who is passionate about technology and open source.
 </li>
 <li>
 A problem solver: you don't shy away from taking on challenges and see projects through to completion.
 </li>
 <li>
 Attention to detail and appreciation for standards: you value quality and accuracy but can adapt quickly when the need arises.
 
 
 </li>
 </ul>
 What we offer you
 
 
 Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilization. Our compensation philosophy is to ensure equity right across our global workforce.
 
 
 In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
 
 
 🏠Fully remote working environment - we've been working remotely since 2004!
 
 
 📚Personal learning and development budget of 2,000 USD per annum
 
 
 💰Annual compensation review
 
 
 🏆Recognition rewards
 
 
 🏝 Annual holiday leave
 
 
 👶Parental Leave
 
 
 🧑&zwj;💼Employee Assistance Programme
 
 
 🧳Opportunity to travel to new locations to meet colleagues at 'sprints'
 
 
 
 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 our 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>

Content marketing team manager

Nextcare

<div>
 
 
 Key Responsibilities
 
 /What You Do
 
 
 
 <ul>
 <li>
 Review and analyze claims to ensure they are accurate and complete.
 </li>
 <li>
 Process claims adjustments and corrections as necessary.
 </li>
 <li>
 Reconcile claims data with financial records and systems.
 </li>
 <li>
 Identify and investigate discrepancies in claims transactions and ensure timely and accurate reconciliation of claims.
 </li>
 <li>
 Analyze claims data to identify trends and patterns.
 </li>
 <li>
 Prepare reports and presentations on claims performance and reconciliation outcomes.
 </li>
 <li>
 Utilize data analytics tools to improve the efficiency of the claims reconciliation process.
 </li>
 <li>
 Assist in internal and external audits related to claims and reconciliation.
 </li>
 <li>
 Maintain accurate and organized documentation for audit purposes.
 </li>
 <li>
 Work closely with the finance, processors, and customer service departments to resolve claims issues.
 </li>
 <li>
 Communicate effectively with stakeholders to address and resolve claims discrepancies.
 </li>
 <li>
 Handle and support direct communication with the healthcare providers on their rejection ratio and reconciliation review findings.
 </li>
 <li>
 Conduct Reconciliation meetings with the stakeholders as required by the reconciliation process.
 </li>
 <li>
 Other Ad hoc duties as required
 
 
 </li>
 </ul>
 
 AI READINESS
 
 Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use
 
 
 
 Key Requirements/What You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in any Medical field, Finance, Business Administration, Insurance, or a related field preferred.
 </li>
 <li>
 Minimum of 2-3 years of experience in claims reconciliation, financial analysis, or a similar role.
 </li>
 <li>
 Experience in the insurance or healthcare industry is preferred.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Proficiency in Microsoft Excel and other data analysis tools.
 </li>
 <li>
 Excellent attention to detail and accuracy.
 </li>
 <li>
 Strong organizational and time management skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Familiarity with claims processing systems and software.
 </li>
 <li>
 Understanding of regulatory requirements related to claims and reconciliation.
 </li>
 <li>
 Knowledge of accounting principles and practices.
 </li>
 <li>
 Legally permitted to work in the country of operations.
 </li>
 <li>
 Hybrid working option available as per business requirements.
 
 
 </li>
 </ul>
 
 How we hire
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.
 
 
 
 Key Benefits/What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.
 
 
 Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.
 
 
 We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.
 
 
 We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 At Allianz Partners, AI is revolutionizing customer service and claims management through innovative solutions. These AI-driven tools enhance productivity by streamlining complex claims processes, reducing administrative burdens, and accelerating resolution times. Our AI-powered technology has made claims processing faster, offering quicker resolutions. All while ensuring human oversight for claims to maintain service integrity. By embracing AI and Emerging Technologies, Allianz Partners continues to lead the industry, meeting ever-changing customer needs with innovative solutions. Our commitment to Ethical AI practices safeguards data integrity and trust, ensuring responsible deployment across all operations. This approach not only enhances customer experiences but also supports strategic initiatives like fraud detection and personalized product offerings, solidifying Allianz Partners' position as a leader in the insurance sector.
 
 
 Great to have you on board. Let's care for tomorrow.
</div>

Claims Reconciliation Officer

<div>
 
 
 Key Responsibilities
 
 /What You Do
 
 
 
 <ul>
 <li>
 Consistently checks, tracks and filing of all claims received.
 </li>
 <li>
 Data entry into company database
 </li>
 <li>
 Validating all received &amp; scanned claims against actualised volumes
 </li>
 <li>
 Perform analytical review of documentation received
 </li>
 <li>
 Ensures that there is a proper documentation, feedback, and endorsement to the concerned unit/department.
 </li>
 <li>
 Timely and precise recording of received claims.
 </li>
 <li>
 Supporting administrative function.
 </li>
 <li>
 Other Ad hoc duties as required.
 
 
 </li>
 </ul>
 
 AI READINESS
 
 Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use
 
 
 
 Key Requirements/What You Bring
 
 
 
 <ul>
 <li>
 High school diploma or equivalent; Bachelor&rsquo;s degree is advantage
 </li>
 <li>
 1-2 years&rsquo; experience in a customer focused environment, ideally in clinical, paramedical roles or TPA or insurance roles.
 </li>
 <li>
 Proficiency in MS Office
 </li>
 <li>
 A highly customer-focused individual with strong interpersonal, communicative and accuracy skills.
 </li>
 <li>
 Data entry experience would be helpful as it is quite important to be successful for the role
 </li>
 <li>
 Demonstrates excellent attention to detail, accuracy, and the ability to meet strict deadlines
 </li>
 <li>
 Ability to multitask, prioritize and work independently or within a team environment.
 </li>
 <li>
 Organizational skills
 </li>
 <li>
 Team player
 </li>
 <li>
 Physically fit to carry out duties.
 </li>
 <li>
 Ability to demonstrate sounds work ethics.
 </li>
 <li>
 Ability to work under pressure and manage time effectively
 </li>
 <li>
 Legally permitted to work in the country of operations.
 
 
 </li>
 </ul>
 
 How we hire
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.
 
 
 
 Key Benefits/What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.
 
 
 Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.
 
 
 We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.
 
 
 We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 At Allianz Partners, AI is revolutionizing customer service and claims management through innovative solutions. These AI-driven tools enhance productivity by streamlining complex claims processes, reducing administrative burdens, and accelerating resolution times. Our AI-powered technology has made claims processing faster, offering quicker resolutions. All while ensuring human oversight for claims to maintain service integrity. By embracing AI and Emerging Technologies, Allianz Partners continues to lead the industry, meeting ever-changing customer needs with innovative solutions. Our commitment to Ethical AI practices safeguards data integrity and trust, ensuring responsible deployment across all operations. This approach not only enhances customer experiences but also supports strategic initiatives like fraud detection and personalized product offerings, solidifying Allianz Partners' position as a leader in the insurance sector.
 
 
 Great to have you on board. Let's care for tomorrow.
</div>

Claims Administrator

<div>
 
 
 Key Responsibilities
 
 /What You Do
 
 
 
 <ul>
 <li>
 Represent the Global Claims Risk Unit as a Fraud Management Subject Matter Expert(SME) for cross functional activities, Client Updates, New Business Solutions and Auditing
 </li>
 <li>
 Analyze claims data to identify unusual patterns and potential fraud indicators.
 </li>
 <li>
 Support the Fraud Analysts throughout the Fraud Process (Identification, Investigation, Corrective Actions)
 </li>
 <li>
 Conduct thorough investigations into suspicious claims, including interviewing claimants and gathering relevant documentation.
 </li>
 <li>
 Utilize advanced analytics and fraud detection tools to enhance fraud detection capabilities.
 </li>
 <li>
 Perform detailed data analysis to uncover trends and anomalies indicative of fraudulent activities.
 </li>
 <li>
 Prepare comprehensive reports on findings, including actionable recommendations.
 </li>
 <li>
 Participate in cross-functional teams to develop and implement fraud prevention strategies.
 </li>
 <li>
 Ensure all fraud detection and investigation activities comply with internal policies, external regulations, and industry standards.
 </li>
 <li>
 Maintain accurate and detailed records of investigations and outcomes.
 </li>
 <li>
 Prepare and present fraud reports to senior management and stakeholders.
 </li>
 <li>
 Identify opportunities to enhance fraud detection and prevention processes.
 </li>
 <li>
 Stay current with industry trends, emerging threats, and new technologies in fraud prevention.
 </li>
 <li>
 Provide training and guidance to junior fraud analysts and other staff on fraud detection techniques and best practices.
 </li>
 <li>
 Mentor team members, fostering a culture of vigilance and proactive fraud prevention.
 </li>
 <li>
 Take part in other projects when required, review documentation and contribute where applicable, research information relating to your area and provide feedback.
 </li>
 <li>
 Other Ad hoc duties as required
 
 
 </li>
 </ul>
 
 AI READINESS
 
 Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use
 
 
 
 Key Requirements/What You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in any Medical field, Finance, Business Administration, Insurance, or a related field preferred.
 </li>
 <li>
 At least 5 years&rsquo; experience in analysing and assessing medical claims of high values and complexities
 </li>
 <li>
 With proven track record in Fraud mitigation
 </li>
 <li>
 Strong ability to communicate effectively with various audiences and all levels of the organisation
 </li>
 <li>
 Proficiency in MS Office (in particular in Excel, Power BI, PowerPoint)
 </li>
 <li>
 Excellent level of written and verbal English is essential.
 </li>
 <li>
 High level of solution orientation &amp; decision making
 </li>
 <li>
 Have obtained or be working towards 1 or more of the following:
 </li>
 <li>
 Fraud (eg ACFE
 </li>
 <li>
 Medical Qualification
 </li>
 <li>
 Data Analytics
 </li>
 <li>
 International Medical Coding
 </li>
 <li>
 Legally permitted to work in the country of operations.
 </li>
 <li>
 Hybrid working option available as per business requirements.
 
 
 </li>
 </ul>
 
 How we hire
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.
 
 
 
 Key Benefits/What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.
 
 
 Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.
 
 
 We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.
 
 
 We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 At Allianz Partners, AI is revolutionizing customer service and claims management through innovative solutions. These AI-driven tools enhance productivity by streamlining complex claims processes, reducing administrative burdens, and accelerating resolution times. Our AI-powered technology has made claims processing faster, offering quicker resolutions. All while ensuring human oversight for claims to maintain service integrity. By embracing AI and Emerging Technologies, Allianz Partners continues to lead the industry, meeting ever-changing customer needs with innovative solutions. Our commitment to Ethical AI practices safeguards data integrity and trust, ensuring responsible deployment across all operations. This approach not only enhances customer experiences but also supports strategic initiatives like fraud detection and personalized product offerings, solidifying Allianz Partners' position as a leader in the insurance sector.
 
 
 Great to have you on board. Let's care for tomorrow.
</div>

Senior Fraud Analyst

Explore 147+ Ai ml specialists data scientists ml engineer in Manama this March. Find roles across top companies and apply now to boost your career.

147 ai ml specialists data scientists ml engineer jobs In Manama

AI/ML Specialists (Data Scientists/ ML Engineer)

Lead Data Governance Engineer

Content marketing team manager

Claims Reconciliation Officer

Claims Administrator

Senior Fraud Analyst

Senior Fraud Analyst