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applied scientist

Inception

<div>
 
 Overview
 
 
 
 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.
 
 
 The opportunity
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 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.
 
 
 To qualify, you must have
 
 
 <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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 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.
 
 
 <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 Core42. 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 Core42for 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.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 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.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <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 10 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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
</div>

Principal Applied Scientist

<div>
 
 Overview
 
 
 
 
 About AIQ:
 
 
 
 AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Senior Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Senior Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.
 </li>
 <li>
 Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.
 </li>
 <li>
 End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.
 </li>
 <li>
 Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil &amp; gas industry.
 </li>
 <li>
 Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Requirements &ndash; Experience
 
 
 
 <ul>
 <li>
 At least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.
 </li>
 <li>
 Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.
 </li>
 <li>
 Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.
 </li>
 <li>
 Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.
 </li>
 <li>
 Demonstrated experience designing and implementing agentic AI systems&mdash;task-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.
 </li>
 <li>
 Experience in Geoscience applications to the Oil &amp; Gas sector is a plus.
 
 
 </li>
 </ul>
 
 Requirements &ndash; Key Skills
 
 
 
 <ul>
 <li>
 Strong foundation in applied mathematics and statistics.
 </li>
 <li>
 Proficiency in machine learning and deep learning techniques.
 </li>
 <li>
 Advanced Python programming skills for AI development.
 </li>
 <li>
 Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).
 </li>
 <li>
 Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.
 </li>
 <li>
 Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.
 </li>
 <li>
 Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).
 </li>
 <li>
 Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.
 </li>
 <li>
 Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).
 </li>
 <li>
 Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.
 </li>
 <li>
 Excellent communication skills for conveying technical concepts effectively.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.
 </li>
 </ul>
</div>

Senior Data Scientist

Keystone AI

<div>
 
 About Keystone AI
 
 
 
 For more than two decades, Keystone AI has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation.
 
 
 Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That&rsquo;s what we call our &ldquo;Triad of Skills." Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.
 
 
 As we rapidly expand globally, we are redefining what a consulting firm can be.
 
 
 
 Economic, Technology, and Strategy Advisory (ETSA)
 
 
 
 Keystone&rsquo;s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.
 
 
 
 What We Do
 
 
 
 ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients
 
 
 
 How We Operate
 
 
 
 Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.
 
 
 
 Who We Serve
 
 
 
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
 
 
 
 Our practice areas
 
 
 
 <ul>
 <li>
 Antitrust &amp; Competition
 </li>
 <li>
 Financial Economics, Tax, and Securities (FETS)
 </li>
 <li>
 Intellectual Property (IP)
 </li>
 <li>
 Information Strategy, Risk and Regulation (ISRR)
 </li>
 <li>
 Healthcare and Life Sciences
 </li>
 <li>
 Technical Investigations
 </li>
 <li>
 Behavioral Insights
 </li>
 <li>
 Strategy Consulting
 
 
 </li>
 </ul>
 
 Staff Data Scientist
 
 
 
 As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.
 
 
 
 Role Expectations
 
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Lead the design and implementation of analytical solutions, from data architecture to model deployment
 </li>
 <li>
 Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis
 </li>
 <li>
 Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
 </li>
 <li>
 Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations
 </li>
 <li>
 Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics
 </li>
 <li>
 Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design
 </li>
 <li>
 Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
 </li>
 <li>
 Engage in knowledge-building initiatives that strengthen Keystone&rsquo;s global AI and data science community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Advanced graduate degree (PhD or Master&rsquo;s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
 </li>
 <li>
 At least 6+ years of professional experience in data science, machine learning, or applied analytics roles
 </li>
 <li>
 Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains
 </li>
 <li>
 Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)
 </li>
 <li>
 Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
 </li>
 <li>
 Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving
 </li>
 <li>
 A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI
 
 
 </li>
 </ul>
 
 Why Keystone AI
 
 
 
 Join a fast-growing, tech-enabled consulting firm that partners with the world&rsquo;s leading companies on their most critical challenges and biggest opportunities.
 
 
 <ul>
 <li>
 Work on frontier matters shaping the future of AI, data, and digital regulation
 </li>
 <li>
 Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
 </li>
 <li>
 Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
 </li>
 <li>
 Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact
 
 
 </li>
 </ul>
 Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
 
 
 At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.
</div>

Staff Data Scientist

Salt

<div>
 
 
 Data Scientist &ndash; Healthcare
 
 
 
 
 
 
 
 The Opportunity
 
 
 
 My client is hiring a commercially minded
 
 Data Scientist
 
 to drive insight-led decision-making across a global healthcare events portfolio. Reporting to the Marketing Director, this newly created role will play a key role in unlocking growth across audiences, exhibitors, and revenue.
 
 
 You&rsquo;ll turn complex data into clear, actionable insights that inform marketing, commercial, and product strategy &mdash; helping the business move faster and smarter.
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 5+ years&rsquo; experience as a Data Scientist or Senior Analyst (marketing, SaaS, or events experience preferred)
 </li>
 <li>
 Strong expertise in data modelling, predictive analytics, segmentation, and growth analytics
 </li>
 <li>
 Proficient in
 
 Python, SQL, Power BI
 
 (or similar tools)
 </li>
 <li>
 Experience working with
 
 CRM and marketing automation data
 
 </li>
 <li>
 Commercially focused, with the ability to link insights to revenue and growth
 </li>
 <li>
 Confident communicator who can influence non-technical stakeholders
 </li>
 <li>
 Curious, proactive, and driven by impact
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Translate marketing, audience, and exhibitor data into actionable strategic insights
 </li>
 <li>
 Identify growth opportunities through audience behaviour and segmentation analysis
 </li>
 <li>
 Build and measure growth loops across engagement, retention, and referrals
 </li>
 <li>
 Analyse campaign performance, attribution, and ROI to optimise spend
 </li>
 <li>
 Develop predictive models for attendance, leads, and exhibitor demand
 </li>
 <li>
 Design dashboards and reporting that support real-time decision-making
 </li>
 <li>
 Partner cross-functionally to embed insights into everyday business decisions
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ***
 
 
 
</div>

Data Scientist- Healthcare

Higher Colleges of Technology

<div></div><div><div><div><div>Location </div><div>Selected Location(s)
</div></div> 
<div><div>Position Available To </div><div>All Candidates
</div></div> 
<div><div>Posting Date </div><div>25-Dec-2025
</div></div> 
<div><div>Closing Date </div><div>27-Feb-2026
</div></div> 
 
<div></div><div><div>Position Summary 
</div></div> 
<div><div>The position is based at KRE8+, an applied research and development center under HCT, specializing in smart sensor&ndash;integrated systems for industrial applications. KRE8+ supports industry partners by delivering high‑tech, practical solutions through applied research, offering specialized expertise, advanced equipment, and collaborative project execution.

The primary objective of this role is to lead applied research and development activities in applied computer vision for industrial applications. The ideal candidate will have a strong research background combined with practical industry experience in designing and implementing cutting‑edge computer vision solutions.

Strategic Responsibilities

Strengthen KRE8+&rsquo;s reputation as a leading applied research center for industrial applications.
<ul>
<li>Lead applied research and development initiatives in applied computer vision for industry use cases.</li>
</ul>
Operational Responsibilities
<ul>
<li>Conduct advanced research in applied computer vision to support industry-driven projects.</li>
<li>Develop innovative industrial applications based on computer vision technologies.</li>
<li>Provide practical implementation support for KRE8+ projects requiring computer vision solutions.</li>
<li>Advise and assist faculty on best practices related to applied computer vision.</li>
<li>Propose meaningful and relevant sophomore project topics for HCT students in the domain of computer vision.</li>
</ul>
Leadership Responsibilities
<ul>
<li>Contribute to the development of academic course materials related to applied computer vision.</li></ul> 

</div></div> 
<div><div>Requirements 
 </div></div> 
<div><div>Qualifications

PhD (preferred) or Bachelor&rsquo;s/Master&rsquo;s degree in AI, IoT, Computer Vision, Machine Learning, or a related field from an accredited institution. 

<ul>
<li>Demonstrated track record in researching and developing computer vision products for industrial applications.</li>
<li>Experience in both academic research and industrial environments is highly desirable.</li>
</ul>
 Experience
<ul>
<li>Minimum 3 years of industry experience in implementing computer vision solutions.</li>
<li>Experience collaborating with research organizations and industry partners to drive innovation.</li>
<li>Strong hands-on expertise with AI and computer vision tools and frameworks, such as OpenCV, PyTorch, Python, YOLOv8, and Roboflow.</li>
<li>Ability to lead the end-to-end development of computer vision products&mdash;from concept to production.</li>
<li>Proven ability to work independently and to lead or mentor teams.</li></ul> 

</div></div> 
<div><div>Salary and Benefits </div><div>Salary &amp; Benefit details will be provided to short listed candidates</div></div></div></div>

Senior Researcher – Applied Computer Vision

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Data Scientist

Explore 111+ Applied scientist in United Arab Emirates this January. Find roles across top companies and apply now to boost your career.