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data scientist

Gathern

<div>Data Scientist: 
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.<div> 
Key Accountabilities: 
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div> 
Core Behavioral Competencies:<ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><div>
Technical Competencies: 
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div> 
Requirements 
Education:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul>
 Experience:<ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div>

Data Scientist

Gathern | جاذر إن

<div>
 
 Data Scientist:
 
 
 
 Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.
 
 
 
 Key Accountabilities:
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to support business objectives
 </li>
 <li>
 Perform data cleaning, transformation, and feature engineering
 </li>
 <li>
 Translate business problems into analytical frameworks
 </li>
 <li>
 Build dashboards and data visualizations for stakeholders
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and insights
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams
 </li>
 <li>
 Monitor model performance and ensure continuous optimization
 
 
 </li>
 </ul>
 
 Core Behavioral Competencies:
 
 
 
 <ul>
 <li>
 Strategic Vision &amp; Agility - Proficient
 </li>
 <li>
 Growth Mindset - Proficient
 </li>
 <li>
 Scalable Execution - Proficient
 </li>
 <li>
 People Leadership &amp; Talent Development - Basic/Proficient
 </li>
 <li>
 Governance &amp; Ethical Conduct - Proficient
 </li>
 <li>
 Customer Centricity - Proficient
 </li>
 <li>
 Innovative Thinking &amp; Digital Fluency - Expert
 </li>
 <li>
 Stakeholder Management - Proficient
 
 
 </li>
 </ul>
 
 Technical Competencies:
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Statistical Analysis - Proficient
 </li>
 <li>
 Machine Learning &amp; Predictive Modeling - Proficient
 </li>
 <li>
 Data Wrangling &amp; Feature Engineering - Proficient
 </li>
 <li>
 Data Visualization &amp; Storytelling - Proficient
 </li>
 <li>
 SQL &amp; Database Querying - Proficient
 </li>
 <li>
 Python / R for Data Science - Proficient
 </li>
 <li>
 Experimentation &amp; A/B Testing - Basic/Proficient
 </li>
 <li>
 Model Deployment &amp; Monitoring - Basic/Proficient
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 :
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
 
 
 </li>
 </ul>
 
 Experience
 
 :
 
 
 <ul>
 <li>
 4-6 years in data science or advanced analytics roles
 </li>
 <li>
 Experience building and deploying machine learning models
 </li>
 <li>
 Experience working with large structured and unstructured datasets
 </li>
 <li>
 Experience collaborating with cross-functional teams
 </li>
 </ul>
</div>

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 5 + years in data science/ML engineering, with 2 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

Quantum Talent Group

<div>
 
 Data Scientist &ndash; RAG / Generative AI
 
 
 
 
 
 ****📍 Saudi Arabia (based in KSA or open to relocation) ****
 
 
 
 
 
 We are hiring experienced Data Scientists with strong expertise in Retrieval-Augmented Generation (RAG) and Generative AI to join a leading partner delivering enterprise AI projects across Saudi.
 
 
 
 
 
 You will work across multiple client engagements, building and deploying scalable GenAI and LLM-powered solutions for different industries.
 
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Strong hands-on RAG experience
 </li>
 <li>
 Experience with LLMs and Generative AI
 </li>
 <li>
 Python expertise
 </li>
 <li>
 Experience with LangChain, LlamaIndex, OpenAI/Azure OpenAI
 </li>
 <li>
 Knowledge of vector databases (FAISS, Pinecone, Azure AI Search, etc.)
 </li>
 <li>
 Experience deploying AI solutions in cloud environments
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Consulting/client-facing experience
 </li>
 <li>
 GCC project exposure
 </li>
 <li>
 MLOps or AI platform engineering experience
 </li>
 </ul>
 
 
 
 
 Please apply on this posting or drop me a message for more details
 
</div>

AI Data Scientist

Hyper Lychee Labs

<div>
 
 
 ONLY APPLY IF:
 
 
 <ul>
 <li>
 
 You're an immediate Joiner
 
 </li>
 <li>
 
 And are based in KSA / Riyadh (are a citizen)
 
 </li>
 <li>
 
 Or have a transferrable Iqama
 
 </li>
 </ul>
 
 
 
 
 Domain: Retail &amp; Corporate Banking &ndash; Pricing &amp; Analytics
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Senior Data Scientist specializing in Pricing Strategy to design and optimize advanced pricing models across retail, SME, and corporate banking products. The role requires deep expertise in data science, financial modelling, and regulatory‑compliant analytics, with the ability to influence strategic decisions in one of the largest banks in the Middle East.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Pricing Analytics &amp; Modeling
 
 
 <ul>
 <li>
 Develop statistical and machine learning models, Bayesian models for loan, deposit, and fee pricing.
 </li>
 <li>
 Conduct elasticity analysis, demand forecasting, and scenario simulations (Monte-Carlo simulations) for banking products.
 </li>
 <li>
 Build dynamic pricing frameworks aligned with Sharia‑compliant banking principles.
 </li>
 <li>
 Establish best practices for experimentation, model validation, and deployment.
 </li>
 </ul>
 
 
 
 
 
 Business Strategy Alignment
 
 
 <ul>
 <li>
 Partner with product, risk, and finance teams to align pricing with profitability and customer value.
 </li>
 <li>
 Provide board‑level insights on revenue impact, margin optimization, and competitive positioning.
 </li>
 <li>
 Support regulatory reporting with transparent, auditable pricing models.
 </li>
 </ul>
 
 
 
 
 
 Data Infrastructure &amp; Governance
 
 
 <ul>
 <li>
 Define data pipelines across core banking systems, CRM, and BI platforms.
 </li>
 <li>
 Ensure compliance with
 
 SAMA (Saudi Central Bank)
 
 regulations and data governance standards.
 </li>
 <li>
 Collaborate with engineering teams to embed pricing models into production systems.
 </li>
 </ul>
 
 
 
 
 
 Market &amp; Competitive Intelligence
 
 
 <ul>
 <li>
 Benchmark pricing against regional and global banks.
 </li>
 <li>
 Monitor macroeconomic indicators (oil prices, interest rates, inflation) impacting pricing strategy.
 </li>
 <li>
 Track customer behavior and digital adoption trends in Middle East banking.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s/PhD in Data Science, Statistics, Economics, or related field.
 </li>
 <li>
 8&ndash;20 years of experience in data science, with at least 5 years in
 
 financial services pricing strategy
 
 .
 </li>
 <li>
 Strong expertise in:
 </li>
 </ul>
 <ol>
 <li>
 Regression, Bayesian models, ML Models,&nbsp;survival models, clustering, time‑series forecasting, optimization techniques like Linear &amp; quadratic programming, Dynamic programming models, Sotchastic modelling etc.
 </li>
 <li>
 Hands on Simulation, price elasticity optimization, Monte Carlo simulations etc. along with stress testing experience.
 </li>
 <li>
 Machine learning frameworks (Python, R, TensorFlow, PyTorch).
 </li>
 <li>
 Strong knowledge of Statistics and advanced statistical modelling
 </li>
 <li>
 SAS Proficiency&nbsp;
 </li>
 <li>
 Do not Apply if you have not worked in SAS for analytics as it&rsquo;s a must constraint.
 </li>
 <li>
 SQL and cloud data warehouses (Snowflake, BigQuery, Azure Synapse).
 </li>
 </ol>
 <ul>
 <li>
 Proven track record of delivering measurable pricing impact in banking or financial services.
 </li>
 <li>
 Excellent communication skills for executive‑level presentations in Arabic and English.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in
 
 Middle East banking markets
 
 .
 </li>
 <li>
 Familiarity with
 
 Sharia‑compliant financial products
 
 .
 </li>
 <li>
 Knowledge of
 
 SAMA regulatory frameworks
 
 .
 </li>
 <li>
 Exposure to
 
 QlikSense, Power BI, or Tableau
 
 for pricing dashboards.&nbsp;
 </li>
 </ul>
</div>

Senior Data Scientist (Pricing Strategist)

Projecttech

<div><div><div><div>Location : Riyadh, Saudi Arabia
 
Industry: Real Estate / Large Assets / Construction
Availability: Immediate
Role Overview
The AI &amp; Data Science Expert designs and deploys data-driven and AI-powered solutions for large real estate assets and construction projects. The role focuses on operational value, not theoretical models. This position supports developers, asset owners, and operators in leveraging data across the full asset lifecycle: design, construction, commissioning, operations, and optimization of large and complex assets (districts, malls, campuses, infrastructure portfolios).
Key Responsibilities
AI &amp; Data Strategy
<ul><li>Define AI and data strategies aligned with real estate and construction business objectives.</li>
<li>Identify high-value use cases: predictive maintenance, energy optimization, space utilization, cost and schedule forecasting, safety analytics, asset performance optimization.</li>
<li>Translate business and operational needs into data models and AI use cases.</li>
</ul>Data Architecture &amp; Analytics
<ul><li>Design data architectures integrating BIM, GIS, IoT, BMS, CMMS, ERP, and operational systems.</li>
<li>Structure and manage large, heterogeneous datasets coming from construction sites and operating assets.</li>
<li>Ensure data quality, governance, and interoperability across platforms.</li>
</ul>AI Model Development &amp; Deployment
<ul><li>Develop, train, and validate machine learning and AI models applicable to real estate and construction environments.</li>
<li>Deploy AI solutions that are scalable, explainable, and operationally usable.</li>
<li>Work with IT and platform teams to integrate models into production systems and dashboards.</li>
</ul>Construction &amp; Asset Lifecycle Integration
<ul><li>Support AI-driven decision-making during design, construction, and operations.</li>
<li>Analyse construction performance (cost, schedule, productivity, risk).</li>
<li>Enable asset operators with predictive and prescriptive analytics.</li>
</ul>Stakeholder &amp; Project Support
<ul><li>Work closely with project managers, engineers, asset managers, and operators.</li>
<li>Support tenders, RFPs, and technology evaluations with AI and data expertise.</li>
<li>Present insights and recommendations to non-technical stakeholders.</li>
</ul>Required Profile
Background &amp; Experience
<ul><li>Proven experience as a Data Scientist / AI Expert in real estate, construction, infrastructure, or large asset environments.</li>
<li>Direct exposure to construction projects, asset operations, or large portfolios is mandatory.</li>
<li>Experience working with complex, imperfect, real-world data (not clean academic datasets).</li>
</ul>Technical Skills
<ul><li>Strong expertise in:
<ul><li>Machine learning and applied AI</li>
<li>Data engineering and analytics pipelines</li>
<li>Time-series analysis and predictive modelling</li>
</ul></li><li>Experience with BIM, digital twins, IoT data, or building systems is a strong advantage.</li>
<li>Understanding of cloud-based data platforms and scalable architectures.</li>
</ul>Business &amp; Operational Mindset
<ul><li>Ability to link AI outcomes to cost reduction, performance improvement, and asset value.</li>
<li>Comfortable working with engineers, construction teams, and operations staff.</li>
<li>Pragmatic, delivery-focused, capable of moving from prototype to deployment.</li>
</ul></div><div><div><div><div>Job Category: Construction Large Assets Real Estate
</div><div>Job Type: Engineering Management
</div><div>Job Location: Riyadh Saudi Arabia</div></div></div></div></div></div></div>

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Senior Data Scientist (Pricing Strategist)

AI & Data Science Expert (J26-53)