data engineer

data scientist

ai data scientist - agentic llms for public safety Jobs in Abu Dhabi

ai data scientist - agentic llms for public safety

ai solutions lead

applied scientist

ai data scientist agentic llms for public safety

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

Core42

<div>
 <strong>
  Data Scientist, Core42, Abu Dhabi &ndash; UAE
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.
 <br/>
 <br/>
 <strong>
  The opportunity
  <br/>
  <br/>
 </strong>
 As a Data Scientist at Core42, you will work at the forefront of generative AI, cloud technologies, and large-scale digital transformation. You will design advanced algorithms, build enterprise-scale models, and deploy solutions across sovereign cloud and HPC environments. The role requires close collaboration with cybersecurity, cloud engineering, and executive stakeholders to develop innovative, secure, and scalable AI solutions that empower public sector and enterprise clients across the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ead the design and implementation of advanced machine learning and generative AI models to solve complex, high-impact business and national-scale challenges.
  </li>
  <li>
   Translate analytical insights into actionable recommendations that drive enterprise and public sector digital transformation.
  </li>
  <li>
   Oversee and mentor a team of data scientists, cultivating a culture of innovation, continuous learning, and technical excellence.
  </li>
  <li>
   Collaborate closely with cross-functional teams&mdash;including cybersecurity, cloud engineering, and product&mdash;to integrate multi-disciplinary solutions.
  </li>
  <li>
   Pioneer new generative AI methodologies and help set benchmarks for national-level solution deployment.
  </li>
  <li>
   Advocate for data-driven decision making by establishing best practices in data acquisition, management, processing, and analysis.
  </li>
  <li>
   Ensure the security, privacy, and compliance of all data systems in alignment with industry-leading cybersecurity standards.
  </li>
  <li>
   Identify and evaluate emerging technologies in AI, cloud computing, and big data, integrating relevant advancements into Core42&rsquo;s service offerings.
  </li>
  <li>
   Communicate complex data concepts, insights, and solution value clearly to technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Required skills / qualifications
  </li>
  <li>
   Certifications in data science, AI, or cloud platforms (AWS, Azure, GCP, etc.).
  </li>
  <li>
   Minimum 10 years of general technological experience.
  </li>
  <li>
   At least 5 years of specific experience working as a data scientist within cloud environments.
  </li>
  <li>
   Strong proficiency with big data tools, analytics suites, and modern machine learning frameworks.
  </li>
  <li>
   Mastery of data science, analytics, and advanced modeling techniques.
  </li>
  <li>
   Background in Computer Science, Data Science, Statistics, or related fields; Master&rsquo;s or PhD is a plus.
  </li>
  <li>
   Experience deploying AI/ML workloads in cloud or HPC environments.
  </li>
  <li>
   Solid understanding of cybersecurity best practices and secure data handling principles.
  </li>
  <li>
   Proven leadership skills, with experience managing or mentoring technical teams.
  </li>
  <li>
   Preferred skills / qualifications
  </li>
  <li>
   Experience building and deploying generative AI solutions at scale.
  </li>
  <li>
   Strong strategic planning and execution capabilities within complex technical environments.
  </li>
  <li>
   Ability to coordinate with cross-functional teams to deliver integrated AI-cloud solutions.
  </li>
  <li>
   Excellent communication skills, with the ability to simplify complex analytical concepts for diverse audiences.
  </li>
  <li>
   Passion for innovation, curiosity, and a bias for action &mdash; aligned with Core42&rsquo;s mission to conquer new frontiers in AI.
  </li>
 </ul>
</div>


Data Scientist

Digital Corner for Network Solutions

<p><b>About</b></p><p>This opportunity is for a leading Energy &amp; Gas giant in the UAE. As a Prompt Engineer within the Generative AI stream, you will be pivotal in unlocking the full potential of Large Language Models (LLMs). You will focus on designing, refining, and optimizing inputs to ensure our AI solutions deliver accurate, safe, and high-value outputs for enterprise use cases.</p><p><b>Responsibilities</b></p><ul><li>Design, test, and refine complex prompts to optimize the performance of Large Language Models (LLMs) for specific business tasks.</li><li>Develop systematic approaches to prompt engineering, creating libraries of reusable prompts for various enterprise applications.</li><li>Collaborate with GenAI Developers to integrate optimized prompts into application workflows and chat interfaces.</li><li>Evaluate model outputs against ground truth data to identify hallucinations or inaccuracies and iterate on prompt strategies to mitigate them.</li><li>Work with domain experts to understand context and nuance, translating business needs into effective instruction sets for AI models.</li><li>Stay updated on the latest techniques in prompt engineering (e.g., Chain-of-Thought, Tree-of-Thought) and apply them to internal projects.</li><li>Monitor production model interactions to identify edge cases and continuously improve prompt robustness.</li></ul><p><b>Requirements</b></p><ul><li><b>Experience:</b> 2+ years.</li><li>Strong understanding of LLM capabilities, limitations, and parameters (temperature, tokens, etc.).</li><li>Experience with OpenAI APIs, Azure OpenAI Service, or similar platforms.</li><li>Proficiency in Python for scripting and data analysis to evaluate prompt performance.</li><li>Excellent linguistic skills and attention to detail, with the ability to craft precise and unambiguous instructions.</li><li>Understanding of AI safety and ethical considerations in prompt design.</li></ul><p><b>Bonus</b></p><ul><li>Experience with &quot;jailbreaking&quot; techniques (for defensive testing) and prompt injection security.</li><li>Knowledge of Arabic NLP and prompting for multi-lingual models.</li></ul><p>Job Type: Full-time</p><p>Pay: AED8,000.00 - AED12,000.00 per month</p>

Prompt Engineer

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>
 Your key responsibilities
 <br/>
 <br/>
 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>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 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>
   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/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 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

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished 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>
 Your key responsibilities
 <br/>
 <br/>
 In the 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>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 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 6 years of experience in developing AI algorithms for various modalities
  </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/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 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>


Applied Scientist

Enerflex

<div><div><div><div><div><b>Business Unit: </b>Eastern Hemisphere
</div></div></div></div><div><div><div><div><b>Location:
</b>Abu Dhabi, AE
</div></div></div></div><div><div><div><div><b>Travel: </b>Up to 25%
</div></div></div></div><div><div><div><div><b>Req ID: </b>3376
</div></div></div></div><div><div><div><div><p>AI Engineer- Asset Management
</p></div></div></div></div><div><div><div><div><div><div><div><div><b>Summary</b></div>
</div><div><div>
We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies&mdash;including LLMs (Large Language Models) and SLMs (Small Language Models)&mdash;to real-world industrial challenges.</div></div></div><div><div><div><b>
Principle Responsibilities and Duties</b></div>
</div><div><ul><li>Design, develop, and deploy AI applications to support:</li>
<ul><li>Predictive and preventive maintenance</li>
<li>Asset life extension strategies</li>
<li>Operational cost reduction</li>
<li>Equipment safety and reliability</li>
</ul><li>Leverage LLMs/SLMs for intelligent automation and decision support</li>
<li>Collaborate with cross-functional teams to identify AI opportunities</li>
<li>Work within Azure cloud environments and integrate with Microsoft Copilot tools</li>
<li>Ensure all work complies with company policies, procedures, and confidentiality standards</li>
<li>Provide structured, timely updates and reports on project progress</li>
<li>Explore and evaluate emerging AI technologies and methodologies</li>
<li>Demonstrate flexibility in adapting to evolving project needs and priorities</li>
</ul></div></div><div><div><div><b>Qualifications</b></div>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments</li>
<li>Proficiency in programming languages such as Python, R, or similar</li>
<li>Experience working with Azure cloud services and AI tools</li>
<li>Familiarity with Microsoft Copilot and its integration into enterprise workflows</li>
<li>Strong communication skills in English (written and verbal)</li>
<li>Ability to work independently while maintaining alignment with team goals</li>
<li>Willingness to travel internationally as required</li>
<li>Adherence to strict confidentiality and data protection standards</li>
<li>Structured reporting and documentation practices</li>
<li>Collaborative and proactive mindset</li>
<li>Commitment to continuous learning and innovation</li>
<li>
<div><b>Preferred Skills:</b></div>
</li>
<li>Experience with asset management systems or industrial operations in gas compression and gas processing industry</li>
<li>Knowledge of maintenance management frameworks (e.g., RCM, CBM)</li>
<li>Understanding of data governance, security, and compliance in AI applications</li>
<li>Ability to translate business needs into technical solutions</li>
</ul></div></div><div><div><div><b>Physical Requirements</b></div>
</div><div><ul><li>Remote work flexibility with a base in Abu Dhabi</li></ul></div></div></div><br>
<div></div>
<div><b>About Us:</b></div><br>
<div></div><div><b>Transforming Energy for a Sustainable Future.</b> Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.<br>
<br>
Enerflex places its core <b>Values of Integrity, Commitment, Creativity, and Success</b> into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.<br>
<br>
We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.</div><br>
<div></div>
<div><b>Enerflex is an Equal Opportunity Employer</b></div>
<div>Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.</div><br>
<div></div>
<div><b>Disclaimer</b></div>
<div>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.</div></div></div></div></div></div><p></p>

AI Engineer- Asset Management

Department of Finance - Abu Dhabi

<div>
 <strong>
  About The Department Of Finance &ndash; Abu Dhabi
  <br/>
  <br/>
 </strong>
 Established in 1966 with the objective of strengthening the financial sustainability of the Emirate, DoF is responsible for the development and execution of the Abu Dhabi government&rsquo;s annual budget and for overseeing government returns, expenditures, funding and liquidity. DoF does this by working closely in partnership with the relevant local government entities and the Abu Dhabi Executive Council.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 Under general directions, Data Scientist is primarily responsible to mine, clean, model, and interpret data to deliver business insights to DoF&rsquo;s business users through relevant tools, dashboards and reports.
 <br/>
 <br/>
 Key objectives for the role include (but not limited to):
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with product design and engineering to develop an understand business users&rsquo; needs
  </li>
  <li>
   Research and devise innovative statistical models for data analysis using advanced Machine Learning, NLP and AI technologies
  </li>
  <li>
   Design, develop and implement end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building and performance evaluation)
  </li>
  <li>
   Enable smarter business processes and implement advanced analytics solutions for meaningful insights
  </li>
  <li>
   Desing and implement databases integrations to enrich existing data sources
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Essential Duties
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through DoF&rsquo;s business capabilities and work closely with the engineering team to strategize and execute the development of data products
  </li>
  <li>
   Execute analytical experiments methodically to help solve problems and make true impact across the organisation
  </li>
  <li>
   Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables
  </li>
  <li>
   Devise and utilize advanced algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
  </li>
  <li>
   Analyse data for trends, patterns and interpret data and develop advanced and accurate prediction algorithms with a clear business objective
  </li>
  <li>
   Implement advanced analytical models into production by collaborating with other software developers
  </li>
  <li>
   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
  </li>
  <li>
   Develop agentic AI solutions using AI models (SLM, LLM) and other AI specific workflow automation tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Generic Accountabilities
  <br/>
  <br/>
 </strong>
 <strong>
  Supervision
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Plan, supervise and coordinate all activities in the assigned area to meet functional objectives
  </li>
  <li>
   When necessary, train and develop the direct reporting staff on relevant skills to enable them to become proficient on the job and deliver the respective section objectives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Budgets
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide input for preparation of the department budgets and assist in the implementation of the approved budget and work plans to deliver department objectives
  </li>
  <li>
   Investigate and highlight any significant variances to support effective performance and cost control
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Policies, Systems, Processes &amp; Procedures
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement approved department policies, processes, systems, standards and procedures to support execution of the work programs in line with DoF and best international standards
  </li>
  <li>
   Comply with all applicable legislation and legal regulations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Performance Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Contribute to the achievement of the approved Performance Objectives for the department in line with the organization performance framework
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Innovation and Continuous Improvement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement new tools and techniques to improve the quality and efficiency of operational processes
  </li>
  <li>
   Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with industry best standards to define intelligent solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Health, Safety, Environment (HSE) and Sustainability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Comply with relevant HSE policies, procedures &amp; controls and applicable legislation and sustainability guidelines in line with international standards, best practices and DoF Code of Practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide inputs and prepare progress reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communications &amp; Working Relationships
  <br/>
  <br/>
 </strong>
 <strong>
  Internal
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Daily interaction with business users, peers, IT staff, and other focal points to discuss and implement Machine Learning/AI solutions and other related projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  External
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Federal and Local Entities at equivalent level to coordinate/participate on API and data integration
  </li>
  <li>
   Vendors and business solution providers for exchange of information &amp; technical/commercial clarifications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications, Experience, Knowledge &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in statistics, applied mathematics, or related discipline
  </li>
  <li>
   Master&rsquo;s degree in stats, applied math, or related discipline
  </li>
  <li>
   7+ years of solid experience in data science
  </li>
  <li>
   Proficiency with data mining, mathematics, and advanced statistical analysis
  </li>
  <li>
   Advanced pattern recognition and predictive modelling experience
  </li>
  <li>
   Experience with Machine Learning and Python for forecasting, predictions and optimization
  </li>
  <li>
   Strong experience with SQL, Phyton, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, SciPy, NumPy, Anaconda, Jupyter Notebook, PyTorch and other similar tools
  </li>
  <li>
   Familiar with Spark, TensorFlow, Analysis Services, GitLab
  </li>
  <li>
   Comfortable working in a very dynamic environment with several ongoing concurrent projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Technical Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in developing and documenting Standards and Processes
  </li>
  <li>
   Strong Communication, interpersonal and people management skills
  </li>
 </ul>
</div>


Senior Specialist - Data Science

Explore 2001+ Ai data scientist agentic llms for public safety in Abu Dhabi this December. Find roles across top companies and apply now to boost your career.