financial analyst Jobs in United Arab Emirates

financial analyst

senior data scientist Jobs in United Arab Emirates

senior data scientist

applied ai engineer Jobs in United Arab Emirates

applied ai engineer

data engineer Jobs in United Arab Emirates

data engineer

data quality engineer (databricks) Jobs in United Arab Emirates

data quality engineer (databricks)

data scientist

Arab Monetary Fund

<div>
 
 
 Job Purpose:
 
 
 
 The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF&rsquo;s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
 
 
 
 
 
 Roles and Responsibilities
 
 
 Key Accountabilities
 
 <ul>
 <li>
 Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
 </li>
 <li>
 Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
 </li>
 <li>
 Continuously enhance models for performance, accuracy, and scalability
 </li>
 <li>
 Clean, transform, and manage diverse data sources using automated ETL pipelines
 </li>
 <li>
 Collaborate with IT to optimize data infrastructure for secure and efficient access
 </li>
 <li>
 Ensure data quality and alignment with organizational data architecture standards
 </li>
 <li>
 Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
 </li>
 <li>
 Apply advanced techniques such as deep learning and NLP to enhance research
 </li>
 <li>
 Monitor developments in data science and introduce relevant tools and techniques
 </li>
 <li>
 Develop dashboards and visualizations to communicate insights to policymakers
 </li>
 <li>
 Create data storytelling outputs for publications, policy discussions, and training
 </li>
 <li>
 Ensure consistent and accessible data presentation across platforms and reports
 </li>
 <li>
 Comply with data protection regulations, internal policies, and ethical AI standards
 </li>
 <li>
 Support implementation of data governance frameworks and quality standards
 </li>
 <li>
 Participate in audits and compliance reviews related to data use and access
 </li>
 </ul>
 
 
 
 
 
 Job Qualifications and Requirements:
 
 
 
 
 
 
 
 Knowledge and Experience:
 
 
 <ul>
 <li>
 Minimum 5 years of experience in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Machine learning
 </li>
 <li>
 Advanced analytics
 </li>
 <li>
 Preferably within economic, financial, or public policy sectors
 </li>
 <li>
 Proven ability to develop predictive models and deliver actionable insights
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Computer science
 </li>
 <li>
 Statistics
 </li>
 <li>
 Economics Or a related field
 </li>
 </ul>
 
 
 
 
 
 Certifications (Preferred):
 
 
 <ul>
 <li>
 Recognized certifications such as:
 </li>
 <li>
 Google Data Analytics
 </li>
 <li>
 IBM Data Science
 </li>
 <li>
 SAS
 </li>
 <li>
 CAP (Certified Analytics Professional)
 </li>
 </ul>
 
 
 
</div>

Data Scientist

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 
 
 We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior Data Scientist
 
 
 Location: Abu Dhabi
 
 
 Experience: 8+ Years
 
 
 Preferred: Western &amp; Diverse candidates
 
 
 
 
 
 Technical Requirements
 
 
 ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 
 
 Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 
 
 techniques.
 
 
 ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 
 
 prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 
 
 ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 
 
 familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 
 
 data extraction from specialized formats is a significant plus.
 
 
 ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 
 
 (Flask/FastAPI) and integrate them into larger software architectures.
 
 
 ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 
 
 identifying and mitigating biases in datasets.
 
 
 
 
 
 Professional Qualifications
 
 
 ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 
 
 track record of deploying models into production environments.
 
 
 ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 
 
 construction regulations, defense standards, supply chain taxonomies) and translate them
 
 
 into logic.
 
 
 ● Structured Delivery: Experience working in structured delivery models
 
 
 (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 
 
 ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 
 
 Backend Engineers, and Product Managers to align model outputs with real-world
 
 
 business logic.
 
 
 
 
 
 Please share your CV with the title of
 
 Senior Data Scientist
 
 
 
 Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 
</div>

Senior Data Scientist

Emirates

<div>
 
 Job Purpose
 
 
 
 A World leader in air cargo. We possess a geographical advantage that enables us to reach over 140 destinations across 6 continents. We are able to cater to two-thirds of the world&rsquo;s population in just 8 hours and serve major international trade regions quickly and efficiently. Our SkyCargo group works in partnership to facilitate global trade and connect customers with their destinations. We have a young, efficient, wide-bodied fleet, with ample capacity to transport cargo through our state-of-the-art, multi-airport hub in Dubai and adapt to our customers ever-changing needs.
 
 
 In the role of
 
 Data Scientist
 
 you will undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
 </li>
 <li>
 Develop dimensions of the DS project such as data analysis, visualisation and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
 </li>
 <li>
 Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
 </li>
 <li>
 Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
 </li>
 <li>
 Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
 </li>
 <li>
 Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
 </li>
 <li>
 Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
 
 
 </li>
 </ul>
 Qualification
 
 
 
 To be considered for this role, you must meet the below requirements:
 
 
 
 
 Qualifications:
 
 MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 
 
 
 Experience:
 
 5+ years experience in Information Systems.
 
 
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in Data Science ecosystem.
 </li>
 <li>
 Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
 </li>
 <li>
 Hands-on experience with SQL, R, Python.
 </li>
 <li>
 Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
 </li>
 <li>
 Hands-on experience building libraries and packages to be re-used by others.
 </li>
 <li>
 Hands-on experience building DS Solutions for production usage.
 </li>
 <li>
 Team player with a problem solving attitude.
 </li>
 <li>
 Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
 </li>
 <li>
 Able to challenge and review the quality and value generated from analytical output.
 
 
 </li>
 </ul>
 At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
 
 
 Salary &amp; benefits
 
 
 Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
</div>

Data Scientist (Emiratisation)

Wynn Al Marjan Island

<div>
 
 Job Description
 
 
 
 
 About Wynn Al Marjan Island:
 
 
 
 On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.
 
 
 
 About The Position
 
 
 
 Wynn Al Marjan Island is looking for a
 
 Data Scientist
 
 to join our
 
 Database Marketing
 
 team.
 
 
 
 Responsibilities
 
 
 
 The primary duties and responsibilities of this role are:
 
 
 <ul>
 <li>
 Build, maintain and optimize predictive models for the Gaming Marketing Campaigns
 </li>
 <li>
 Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources
 </li>
 <li>
 Maintain documentation for model inputs, business rules, and assumptions
 </li>
 <li>
 Support campaign operations by producing analytical variables, flags, segments, and model driven attributes
 </li>
 <li>
 Perform ad hoc analysis to support marketing decision making
 </li>
 <li>
 Build and maintain performance dashboards and recurring reports for Models and Campaigns performance
 </li>
 <li>
 Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation
 </li>
 <li>
 Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support
 </li>
 <li>
 Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation
 </li>
 <li>
 Perform checks to identify anomalies, missing data, or unexpected trends
 </li>
 <li>
 Keep analytical workflows organized, reproducible, and documented
 </li>
 <li>
 Summarize findings clearly for non-technical stakeholders
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Master or Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field.
 </li>
 <li>
 +2 years of experience in data science and analytics (Gaming experience is a plus but not required).
 </li>
 <li>
 Strong Python and SQL skills for data manipulation and analysis.
 </li>
 <li>
 Experience with Machine learning models (experience with Databricks is a plus)
 </li>
 <li>
 Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation)
 </li>
 <li>
 Experience working with large datasets and operational, recurring analytical tasks.
 </li>
 <li>
 High attention to detail with strong QA instincts.
 </li>
 <li>
 Ability to explain analytical outputs clearly to non‑technical stakeholders.
 </li>
 <li>
 Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment.
 
 
 </li>
 </ul>
 
 About Wynn Al Marjan Island&rsquo;s Benefits
 
 
 
 We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.
</div>

Data Scientist - Database Marketing

COBBLESTONE

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (
 
 Chlamydotis undulata
 
 ) and Asia (
 
 Chlamydotis macqueenii
 
 ). We deliver large-scale conservation, ecological monitoring, and applied research programmes across the Middle East, North Africa, Central Asia, and beyond. The organization combines conservation breeding programmes, long-term field expertise, and multidisciplinary scientific research to support evidence-based conservation strategies.
 
 
 
 
 
 Through its activities, RENECO generates and manages large and diverse datasets spanning ecology, demography, reproductive physiology, behaviour, veterinary science, conservation genomics, climate, and environmental monitoring. This strong research and data culture supports the development of advanced statistical, data science, and artificial intelligence approaches applied to wildlife conservation and biodiversity management.
 
 
 As part of our continued growth, we are seeking a dedicated Biostatistics/Data Scientist to join our team at Reneco Wildlife Consultancy, based in Abu Dhabi.
 
 
 
 
 
 This role combines advanced analytics, machine learning, AI, and operational implementation to deliver real-world impact and support conservation, environmental monitoring, and applied research initiatives
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Deliver statistical analyses, data interpretation, and reporting to support evidence-based decision-making across conservation and research projects.
 </li>
 <li>
 Clean, structure, integrate, and manage large, complex datasets while developing reliable data pipelines.
 </li>
 <li>
 Design, develop, and implement AI and Machine Learning models to address operational and scientific challenges.
 </li>
 <li>
 Develop and deploy AI-driven applications and operational solutions, including automated monitoring systems, sensor integration, dashboards, APIs, automated reporting, and intelligent decision-support tools.
 </li>
 <li>
 Collaborate with multidisciplinary teams, researchers, and international partners to bridge scientific research with practical applications.
 </li>
 <li>
 Ensure effective follow-up and implementation of collaborative projects with universities, research institutions, and external stakeholders.
 </li>
 <li>
 Generate actionable insights by identifying patterns, trends, and anomalies within environmental, biological, and operational datasets.
 </li>
 <li>
 Support the adoption of innovative data science and artificial intelligence approaches across conservation and environmental intelligence initiatives.
 </li>
 <li>
 Contribute to capacity building, knowledge transfer, and team coordination and management.
 </li>
 <li>
 Communication of scientific findings (per review article, conferences) and supervision of students.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Professional Experience &amp; Skills:
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in Data Science, Machine Learning, and/or Artificial Intelligence (academic or industry).
 </li>
 <li>
 Proven experience developing and implementing AI/ML models on real-world datasets.
 </li>
 <li>
 Exposure to environmental, biological, ecological, or conservation-related datasets would be highly beneficial.
 </li>
 <li>
 Strong proficiency in Python and/or R for statistical analysis, machine learning, and data visualization.
 </li>
 <li>
 Strong proficiency in SQL and database management.
 </li>
 <li>
 Solid understanding of machine learning methodologies, model evaluation, and validation techniques.
 </li>
 <li>
 Ability to analyse, clean, and manage large and complex datasets.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and analytical pipeline development.
 </li>
 <li>
 Familiarity with modern AI applications, including LLMs, AI agents, computer vision, and geospatial analytics.
 </li>
 <li>
 Knowledge of cloud computing environments, MLOps practices, Docker, and model deployment frameworks is an advantage.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Fluent English is required. French and/or Arabic would be a strong advantage.
 </li>
 </ul>
 
 
</div>

Biostatistician & Data Science Specialist

Explore 549+ Data scientist in United Arab Emirates this July. Find roles across top companies and apply now to boost your career.