data scientists banking

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for Data Scientists - Banking for our Bahrain operations with the following skillsets and terms &amp; conditions:
Years of Experience: 7 &ndash; 10 years
Qualification
Bachelor&rsquo;s Degree in Computer Science / Engineering 
Preferably BE Computer Science &amp; Engineering
Professional 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:<ul><li>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 measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul>
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. 
 
 
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><li>Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)</li></ul>
 
Software Engineering &amp; Backend Integration<ul><li>RESTful and GraphQL APIs, webhooks</li><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>
Joining time frame: (15 - 30 days)</div>

Data Scientists - Banking

<div>Job Description 
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 years
Qualification
Bachelor&rsquo;s Degree in Computer Science / Engineering 
Preferably BE Computer Science &amp; Engineering
Professional 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:<ul><li>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 measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul>
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. 
Joining time frame: (15 - 30 days)</div>

AI/ML Specialists (Data Scientists/ ML Engineer)

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist (
 
 
 Core AI / NLP Engineering) is required for our client in Bahrain
 
 
 
 
 Design and develop machine learning models to support AI-driven banking solutions is MUST
 
 
 
 
 Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.) is MUST
 
 
 
 
 LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks is MUST
 
 
 
 
 Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy) is MUST
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop machine learning models to support AI-driven banking solutions
 </li>
 <li>
 Collaborate with data engineers to access and prepare data for modeling
 </li>
 <li>
 Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit
 </li>
 <li>
 scoring)
 </li>
 <li>
 Evaluate model performance and optimize for accuracy, precision, and recall
 </li>
 <li>
 Deploy models into production using MLOps frameworks and CI/CD pipelines
 </li>
 <li>
 Ensure models are explainable, auditable, and compliant with regulatory standards
 </li>
 <li>
 Work with business stakeholders to identify AI opportunities and define success metrics
 </li>
 <li>
 Document model assumptions, data sources, and performance benchmarks
 
 
 </li>
 </ul>
 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>
 <li>
 Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)
 
 
 </li>
 </ul>
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 RESTful and GraphQL APIs, webhooks
 </li>
 <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
 
 
 <ul>
 <li>
 Data pipelines (Airflow, dbt, Kafka)
 </li>
 <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>
 Skills: ai,design,nlp,data
</div>

Data Scientist (Core AI / NLP Engineering)

Housing Bank

<div>
 
 
 Key Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Reporting to the Head of Corporate Banking, prepare credit proposals and annual reviews in collaboration with the RMs by conducting financial analysis, risk assessments, proposing proper financing structures and submitting credit recommendation.
 </li>
 <li>
 Support the Head of Corporate Banking in portfolio analysis and preparing feasibility studies.
 </li>
 <li>
 Support Senior Corporate RMs in coordinating with the concerned departments regarding syndicated loans.
 </li>
 <li>
 Participate in preparing reviews related to the segmentation of economic sector caps, target market criteria, risk appetite etc.
 </li>
 <li>
 Perform ad hoc assignments assigned by the direct manager.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements
 
 
 <ul>
 <li>
 Practical knowledge of credit standards.
 </li>
 <li>
 Practical knowledge of the relevant Central Bank of Bahrain regulations.
 </li>
 <li>
 Practical knowledge of the relevant legal frameworks in Bahrain.
 </li>
 <li>
 Bachelor's degree in Business or any related field
 </li>
 <li>
 At least 8 years of experience in a banking field in a similar role.
 </li>
 <li>
 Technical Skills: Proficiency in Microsoft applications, including PowerPoint, Excel, and Word
 </li>
 </ul>
 
 
 
 
 
 Nationality:
 
 
 
 Only Bahrainis and expats currently working in the Bahraini banking sector may apply
 
</div>

Corporate Credit Analysis - Senior Officer / HBTF Bahrain

<div>
 
 
 Key Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Support Corporate Banking Relationship Managers in their daily tasks and customers transactions
 </li>
 <li>
 Handle spreading financials of corporate customer
 </li>
 <li>
 Ensure client files are updated and all KYC documentation in order
 </li>
 <li>
 Participate in the preparation, review, and analysis of periodic reports
 </li>
 <li>
 Assist in onboarding clients to the Corporate Cash Management and Trade Finance system
 </li>
 <li>
 Support Relationship Managers in implementing facility documentation and security
 </li>
 <li>
 Support in conducting market scans and contribute to the feasibility assessment of new banking products and services
 </li>
 <li>
 Perform any additional duties assigned by the direct manager
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements
 
 
 <ul>
 <li>
 Practical knowledge of financial matters, particularly in the field of corporate lending
 </li>
 <li>
 Knowledge of legal frameworks, banking regulations, and market dynamics.
 </li>
 <li>
 Practical knowledge of the regulations of the Central Bank of Bahrain
 </li>
 <li>
 Bachelor's degree in one of the business-related fields
 </li>
 <li>
 At least two years of experience in a banking field.
 </li>
 <li>
 English Language: Advanced level in both writing and speaking.
 </li>
 <li>
 Technical Skills: Proficiency in Microsoft applications, including PowerPoint, Excel, and Word
 </li>
 </ul>
 
 
</div>

Business Support Officer / HBTF Bahrain

HSBC

<div>
 
 Analyst &ndash; CIB Coverage (Bahrain National Only)
 
 
 
 HSBC Corporate and Institutional Banking (CIB) is a markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We partner with our corporate, government and institutional clients to help them achieve consistent, long-term performance. Our products and services include advisory, financing, prime services, research and analysis, securities services, trading and sales and transaction banking.
 
 
 We are seeking an ambitious Bahraini national to work as part of the Bahrain CIB Coverage team to as Analyst supporting Relationship managers in the IC, GC and IMM segments.
 
 
 
 The Role
 
 
 
 In this role you will proactively support Relationship Managers enabling them to deliver best in class service to existing and prospective customers. In this role you will provide extensive support and is accountable for the end-to-end credit application process including, preparation of credit applications based on thorough analysis of the financial reports, research and other data sources / market intelligence, supporting RMs on credit related operations, facilitating timely execution of facility offer letters and draw downs, perfection of securities, liaising with onshore/offshore credit support teams, ensuring covenant and credit approval conditions compliance etc.
 
 
 Furthermore, requires providing extensive support and is accountable for pipeline, sales activity and customer service management for the designated portfolio of customers ensuring high levels of customer satisfaction in terms of day-to-day operational support acting as a catalyst for delivery of expected contribution towards Annual Operating Plan and improved client engagement scores.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 You will be responsible for execution of controls for effective risk management from a legal, compliance, operational and reputational perspectives.
 </li>
 <li>
 Be involved active engagement with all product partners, any relevant periodic / ad hoc reporting and project activity.
 </li>
 <li>
 To actively participate in client planning and strategic business reviews to ensure that we fully understand the customers&rsquo; needs/plans and accordingly align our solutions to meet those.
 </li>
 <li>
 Work closely with Relationship Managers on varied set of activities in essence maximizing the client facing time for Relationship Managers.
 </li>
 <li>
 Specific set of activities include, preparation of call reports, research and industry analysis, account conduct reviews, client interaction on operational matters, complaints resolution, coordination with product partners, periodic and ad hoc reporting and project specific support, etc.
 
 
 </li>
 </ul>
 
 In order to apply for this role, you will have the following:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree is required.
 </li>
 <li>
 Minimum two years&rsquo; experience in the Financial Services sector, preferably with commercial banks with detailed knowledge of commercial banking products.
 </li>
 <li>
 Understanding of credit approval processes and KYC for corporate clients is essential.
 </li>
 <li>
 Knowledge of the Bahrain business environment would be desirable.
 </li>
 <li>
 Analytical and quantitative skills
 </li>
 <li>
 Ability to work with different business and support teams in a high performance environment.
 </li>
 <li>
 Customer driven with a proactive approach, strong sales, marketing orientation and entrepreneurial spirit.
 </li>
 <li>
 Good prioritizing, organizational and time management abilities.
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Professionally ambitious individual with strong work ethics.
 
 
 </li>
 </ul>
 www.hsbc.com/careers
 
 
 HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.
 
 
 We believe diversity brings benefits for our customers, our business and our people. Different ideas and perspectives help us innovate, manage risk and grow the business in a sustainable way. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
</div>

Analyst- Corporate Institutional Banking (CIB) Coverage - (Bahrain National Only)

<div>Analyst &ndash; CIB Coverage (Bahrain National Only) 
HSBC Corporate and Institutional Banking (CIB) is a markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We partner with our corporate, government and institutional clients to help them achieve consistent, long-term performance. Our products and services include advisory, financing, prime services, research and analysis, securities services, trading and sales and transaction banking. 
We are seeking an ambitious Bahraini national to work as part of the Bahrain CIB Coverage team to as Analyst supporting Relationship managers in the IC, GC and IMM segments. 
The Role:
In this role you will proactively support Relationship Managers enabling them to deliver best in class service to existing and prospective customers. In this role you will provide extensive support and is accountable for the end-to-end credit application process including, preparation of credit applications based on thorough analysis of the financial reports, research and other data sources / market intelligence, supporting RMs on credit related operations, facilitating timely execution of facility offer letters and draw downs, perfection of securities, liaising with onshore/offshore credit support teams, ensuring covenant and credit approval conditions compliance etc. 
Furthermore, requires providing extensive support and is accountable for pipeline, sales activity and customer service management for the designated portfolio of customers ensuring high levels of customer satisfaction in terms of day-to-day operational support acting as a catalyst for delivery of expected contribution towards Annual Operating Plan and improved client engagement scores. 
Key Accountabilities: 
<ul><li>You will be responsible for execution of controls for effective risk management from a legal, compliance, operational and reputational perspectives.</li><li>
Be involved active engagement with all product partners, any relevant periodic / ad hoc reporting and project activity.</li><li>
To actively participate in client planning and strategic business reviews to ensure that we fully understand the customers&rsquo; needs/plans and accordingly align our solutions to meet those.</li><li>
Work closely with Relationship Managers on varied set of activities in essence maximizing the client facing time for Relationship Managers.</li><li>
Specific set of activities include, preparation of call reports, research and industry analysis, account conduct reviews, client interaction on operational matters, complaints resolution, coordination with product partners, periodic and ad hoc reporting and project specific support, etc.</li></ul> 
 In order to apply for this role, you will have the following: 
<ul><li>
Bachelor&rsquo;s degree is required.</li><li>
Minimum two years&rsquo; experience in the Financial Services sector, preferably with commercial banks with detailed knowledge of commercial banking products.</li><li>
Understanding of credit approval processes and KYC for corporate clients is essential.</li><li>
Knowledge of the Bahrain business environment would be desirable.</li><li>
Analytical and quantitative skills</li><li>
Ability to work with different business and support teams in a high performance environment.</li><li>
Customer driven with a proactive approach, strong sales, marketing orientation and entrepreneurial spirit.</li><li>
Good prioritizing, organizational and time management abilities.</li><li>
Strong communication skills</li><li>
Professionally ambitious individual with strong work ethics.</li></ul> 
www.hsbc.com/careers
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.
We believe diversity brings benefits for our customers, our business and our people. Different ideas and perspectives help us innovate, manage risk and grow the business in a sustainable way. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.</div>

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145 data scientists banking jobs IN Bahrain

Data Scientists - Banking

AI/ML Specialists (Data Scientists/ ML Engineer)

Data Scientist (Core AI / NLP Engineering)

Corporate Credit Analysis - Senior Officer / HBTF Bahrain

Business Support Officer / HBTF Bahrain

Analyst- Corporate Institutional Banking (CIB) Coverage - (Bahrain National Only)

Analyst- Corporate Institutional Banking (CIB) Coverage - (Bahrain National Only)