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senior research scientist

Al Etihad Payments

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    |
   </em>
   About the role
  </strong>
 </p>
 <p>
  We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Development and Deployment:
   </strong>
  </li>
  <li>
   Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
  </li>
  <li>
   Optimize and fine-tune models to improve performance and accuracy for various applications.
  </li>
  <li>
   <strong>
    Research and Innovation:
   </strong>
  </li>
  <li>
   Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
  </li>
  <li>
   Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
  </li>
  <li>
   <strong>
    Data Analysis and Processing:
   </strong>
  </li>
  <li>
   Collect, preprocess, and analyze large datasets to support model training and evaluation.
  </li>
  <li>
   Implement robust data pipelines to ensure efficient data flow and processing.
  </li>
  <li>
   <strong>
    Model Evaluation and Improvement:
   </strong>
  </li>
  <li>
   Evaluate model performance using appropriate metrics and methodologies.
  </li>
  <li>
   Identify areas for improvement and implement strategies to enhance model effectiveness.
  </li>
  <li>
   <strong>
    Collaboration and Mentorship:
   </strong>
  </li>
  <li>
   Collaborate with cross-functional teams including engineers, product managers, and researchers.
  </li>
  <li>
   Mentor and guide junior data scientists and machine learning engineers.
  </li>
  <li>
   <strong>
    Documentation and Reporting:
   </strong>
  </li>
  <li>
   Document methodologies, experiments, and results comprehensively.
  </li>
  <li>
   Prepare and present reports and findings to stakeholders and team members.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Minimum Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
  </li>
  <li>
   Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
  </li>
  <li>
   Minimum of 2 years of experience in LLM and Gen. AI
  </li>
  <li>
   Minimum of 5 years of experience in data science and machine learning.
  </li>
  <li>
   Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
  </li>
  <li>
   Experience with natural language processing and understanding tasks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Skills &amp; Competencies
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Technical Skills:
   </strong>
  </li>
  <li>
   Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
  </li>
  <li>
   Strong understanding of machine learning algorithms, deep learning, and statistical methods.
  </li>
  <li>
   Experience with data visualization tools and techniques.
  </li>
  <li>
   Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
  </li>
  <li>
   <strong>
    Optional Skills:
   </strong>
  </li>
  <li>
   Proficiency in Arabic language (reading, writing, speaking) is a plus.
  </li>
  <li>
   <strong>
    Soft Skills:
   </strong>
  </li>
  <li>
   Excellent problem-solving skills and attention to detail.
  </li>
  <li>
   Strong communication and collaboration abilities.
  </li>
  <li>
   Ability to work independently and in a team-oriented environment.
  </li>
  <li>
   Continuous learning mindset and a passion for innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Working Conditions
  </strong>
 </p>
 <ul>
  <li>
   Full-time position; hybrid/remote options as per company policy.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist - Takamul

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 To qualify, you must have:
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 8 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Hands on expertise designing and implementing GenAI solutions on Azure
  </li>
  <li>
   Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
  </li>
  <li>
   Hands on experience with python for prototyping and implementing GenAI solutions
  </li>
  <li>
   Expertise optimizing advanced RAG architectures and designing information retrieval system
  </li>
  <li>
   Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
  </li>
  <li>
   Understanding on the latest Agentic and RAG research and innovation areas
  </li>
  <li>
   Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 A highly curious and inquisitive approach to problem-solving
 <br/>
 <br/>
 In-depth knowledge of the latest developments in AI and machine learning
 <br/>
 <br/>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

Deeplight

<div><p><b>About DeepLight AI:</b> DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries, <b>with particular depth in financial services and banking</b>. Our team combines deep expertise in <b>data science, statistical modeling</b>, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p><b>
Role Overview:</b> We are looking for a <b>Senior AI/Data Scientist with deep banking subject matter expertise</b> to design, develop and implement <b>statistical models and data-driven solutions</b> for our enterprise clients. The successful candidates will work on <b>risk modeling, portfolio optimization, and regulatory capital management</b> across <b>treasury, wholesale banking, and corporate lending divisions</b>.</p><p><b>
Key Responsibilities:</b></p><ul>
<li><b>Develop and implement risk models</b> for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context</li>
<li><b>Build RAROC and RAC optimization frameworks</b> to improve risk-adjusted returns and capital allocation across business lines</li>
<li><b>Create statistical models for corporate credit risk</b>, including PD, LGD, and EAD models for lending decisions and portfolio management</li>
<li><b>Provide subject matter expertise</b> on Basel requirements, regulatory capital models, and stress testing frameworks</li>
<li><b>Partner with business stakeholders</b> in treasury, risk, and corporate banking to translate business requirements into statistical solutions</li>
</ul><p><b>Requirements</b></p><p><b>
Requirements</b></p><ul>
<li>8+ years of experience in <b>data science and statistical modeling within banking/financial services</b>
</li><li><b>Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions</b></li>
<li><b>Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred</b></li>
<li>Strong proficiency in Python and relevant statistical/ML frameworks <b>but more importantly, deep understanding of the statistical concepts underlying these tools</b>
</li><li><b>Hands-on experience with regulatory capital models and Basel framework</b></li>
<li>Strong problem-solving skills and attention to detail</li>
</ul><p><b>Note:</b> We're looking for true data scientists with solid statistical foundations <b>AND proven banking domain expertise</b>, not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.</p><p><b>
Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p></div>

Senior Data Scientist

New York University

<div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Social Science
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 18, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science.</p>
<p>
The ideal candidate is self-motivated and hard-working with a Masters degree in Data Science, Computational Social Science, Computer Science, or Information Science, or a bachelor&rsquo;s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential.</p>
<p>
Selected candidates will be working closely with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax.</p>
<p>
Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu.</p>
<p>
Working for NYUAD</p>
<p>
To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family</p>
<p><b>
About NYU Abu Dhabi</b><br>
https://nyuad.nyu.edu/en/</p>
<p>
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.</p>
<p>
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p>
<p></p>
<p>UAE Nationals are encouraged to apply</p></div></div></div></div></div>

Junior Research Scientist in the Division of Social Science (Data Science) - Dr. Bedoor AlShebli

New York University Abu Dhabi

<div>
 We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science.
 <br/>
 <br/>
 The ideal candidate is self-motivated and hard-working with a Masters degree in Data Science, Computational Social Science, Computer Science, or Information Science, or a bachelor&rsquo;s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential.
 <br/>
 <br/>
 Selected candidates will be working closely with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax.
 <br/>
 <br/>
 Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu.
 <br/>
 <br/>
 Working for NYUAD
 <br/>
 <br/>
 To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 UAE Nationals are encouraged to apply
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Sundus

<div>
 <strong>
  Job Code: 5379
  <br/>
  <br/>
 </strong>
 <strong>
  Job Title:
 </strong>
 Consultant &ndash; Enterprise Risk Management
 <br/>
 <br/>
 <strong>
  Experience Required:
 </strong>
 8 years + in ERM
 <br/>
 <br/>
 <strong>
  Service Duration:
 </strong>
 1 year contract &ndash; to be renewed annuall
 <br/>
 <br/>
 <ul>
  <li>
   Job Description:
  </li>
  <ul>
   <li>
    Key Responsibilities:
   </li>
   <li>
    Responsible for maintenance of company's ERM Framework documents; update associated ERM tools (risk universe, appetite statements, rating criteria, templates, training materials) and ensure version control;
   </li>
   <li>
    Schedule, coordinate and lead quarterly enterprise-wide risk identification, analysis, evaluation and treatment sessions; validate sector risk registers with Risk Champions;
   </li>
   <li>
    Maintain sector-level ERM risk registers and consolidate all registers on a quarterly basis to support the ERM Manager in identifying the top corporate risks;
   </li>
   <li>
    Support in identifying qualified employees to act as Risk Champions and maintain the Risk-Champion tracker;
   </li>
   <li>
    Draft ERM reports for the ERM Manager, the Director of Corporate Strategy and Development, the Executive Director of Corporate Enablement, the DG of Strategic Affairs and the SG / Chairman on a defined frequency;
   </li>
   <li>
    Verify completion evidence for risk-treatment actions, track overdue items and escalate per the approved protocol;
   </li>
   <li>
    Prepare ERM training sessions with Risk Champions and company's employees and refresh content annually based on feedback and emerging best practices;
   </li>
   <li>
    Develop and maintain effective communication with all Risk Champions and Owners and ensure that the information flow to all stakeholders is efficient and effective;
   </li>
   <li>
    Collaborate with other functions to align and continuously improve ERM processes and capabilities; and
   </li>
   <li>
    Conduct targeted research on emerging risks and leading ERM practices as delegated by the ERM Manager.
   </li>
   <li>
    Education:
   </li>
   <li>
    Bachelor or Master degree in Risk Management, Business Administration, Finance, Accounting, Economics, Engineering, or a related field.
   </li>
   <li>
    Professional Certifications (Preferred):
   </li>
  </ul>
 </ul>
 <br/>
 <br/>
 <ul>
  <li>
   Certifications in risk management or governance are highly desirable, such as:
  </li>
  <ul>
   <li>
   </li>
   <ul>
    <li>
    </li>
    <ul>
     <li>
      ISO 31000 Risk Management certification
     </li>
     <li>
      COSO ERM Certificate
     </li>
     <li>
      IRM (Institute of Risk Management) Certifications &ndash; e.g., International Certificate/Diploma in ERM
     </li>
     <li>
      RIMS-CRMP (Risk Management Professional)
     </li>
     <li>
      CIA, CRMA, CISA or similar
     </li>
    </ul>
   </ul>
  </ul>
 </ul>
</div>


ERM Senior Specialist

National Reference Laboratory

<div></div><div><div><div><div><div><div><div>ID</div>
<div>2025-4667
</div></div><div><div>Category</div>
<div>Digital &amp; Technology
</div></div><div><div>Asset : Name</div>
<div>Environmental Sciences
</div></div><div><div>City</div>
<div>Abu Dhabi
</div></div></div></div></div></div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>M42&rsquo;s Integrated Health Solutions (IHS) platform drives transformative national programs and population health initiatives, addressing global health challenges through precision, prevention, and predictive care. Flagship initiatives include the Emirati Genome Program (EGP), which maps Emirati genetics to enable personalized and preventive healthcare; the Abu Dhabi BioBank, a regional center accelerating drug discovery and biobanking excellence; and Biogenix Labs, which advances precision medicine through Next-Generation Sequencing (NGS) technologies. Environmental Sciences complements these efforts by analyzing non-human factors affecting public health. IROS (Integrated Research Organization Solutions) supports innovation through high-quality clinical research, reinforcing M42&rsquo;s commitment to a healthier, more sustainable future.</div><div></div><div><br>
The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><div><b>AI &amp; Product Development</b></div><ul><li>
Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.</li><li>
Translate complex scientific and regulatory requirements into scalable AI-driven solutions.</li><li>
Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.</li><li>
Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.</li><li>
Help grow the Digital EVS portfolio</li></ul><div><b>
Data Strategy &amp; Analytics</b></div><ul><li>
Lead the acquisition, curation, and harmonization of diverse environmental datasets.</li><li>
Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.</li><li>
Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.</li><li>
Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.</li></ul><div><b>
Cross-Functional Collaboration &amp; Engagement</b></div><ul><li>
Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.</li><li>
Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.</li><li>
Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.</li><li>
Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.</li></ul><div><b>
Project Management</b></div><ul><li>
Design/collate Business requirements/documents</li><li>
Define Project Scope and Objectives</li><li>
Plan Data Acquisition and Preparation</li><li>
Coordinate Model Development and Evaluation</li><li>
Manage Stakeholder Communication</li><li>
Ensure Compliance and Deployment Readiness</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div><b>Minimum Qualifications</b></div><ul><li>
Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.</li><li>
Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.</li><li>
Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).</li><li>
Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.</li><li>
Solid understanding of data governance, ethics, and regulatory compliance.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.</li><li>
Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.</li><li>
Familiarity with UAE regulatory frameworks and international sustainability initiatives.</li><li>
Strong stakeholder management and science communication skills.</li></ul></div></div></div></div><div></div>

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