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actuarial data scientist

data scientist

Smyrooms, a brand of Grupo Viajes El Corte Inglés

<div>
 
 Smyrooms is part of Viajes El Corte Ingl&eacute;s Group, one of the biggest conglomerate of Spain offering hotels in over 120 countries for our clients.
 
 
 
 
 
 Our company was founded with the aim of supplying the many brands of the group as well as all of our customers with our travel inventory at competitive prices.
 
 
 
 
 
 We are one of the youngest brands in the group, and tha makes us dynamic, energetic and technologically savvy. We are not just a beddank.
 
 
 
 
 
 Data is part of our DNA, our phylosophy is data, driven solutions. Currently we are searching a
 
 Data Scientist
 
 , specialized in Travel Sector for our headoffices in Dubai (United Arab Emirates).
 
 
 
 
 
 Salary range for this role: AED 160,000 - 180,000 AED per annum.
 
 
 
 
 
 
 
 Job characteristics:
 
 
 
 
 
 
 <ul>
 <li>
 Support the Pricing and Distribution area to optimize the revenue and product segmentation, to stay as competitive (and reachable) as possible in a multi-connected environment.
 </li>
 <li>
 Responsible for analyzing commercial data to identify trends, patterns and opportunities for business growth.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business objectives, identify opportunities and implement solutions to optimize commercial operations.
 </li>
 <li>
 Strong communicator with strong analytical abilities, capable of translating complex data into actionable insights and effectively communicating high-level business updates as well as granular data analysis.
 </li>
 <li>
 Developing growth strategies and providing strategic insights to drive business success.
 </li>
 <li>
 Provide the Leadership team with recurring and ad-hoc data analysis and comprehensive reporting, as well as generate momentum, global ownership and overall support to speed up the team&rsquo;s action plan.
 </li>
 <li>
 Support and manage the enhancement of business processes and proactively identify opportunities to increase customer success.
 </li>
 <li>
 Provide support to key commercial functions through rigorous and deep analysis that facilitates understanding root causes &amp; actions to be taken. Identify best practices, share and reapply across the organization.
 </li>
 <li>
 Follow up on the opportunities and tasks generated by or towards the commercial teams.
 </li>
 <li>
 Develop presentations with conceptual and/or quantitative analysis that facilitate top management decision making.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Strong Analytical, numerical, communication and presentation skills to be able to interpret, summarize and present complex data sets from multiple sources in a simple and comprehensive way.
 </li>
 <li>
 Effectively manage communication at senior level.
 </li>
 <li>
 Be able to report KPIs and performance metrics in a structured manner as well as develop analytical models to facilitate decision making.
 </li>
 <li>
 Detail oriented and organized, with the ability to manage multiple projects simultaneously.
 </li>
 <li>
 Strong interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
 </li>
 <li>
 Experience working in a fast-paced dynamic environment with challenging deadlines and competing priorities.
 </li>
 <li>
 Methodical and organized mindset with the ability to think critically and develop innovative solutions to business challenges.
 </li>
 <li>
 Visual/Analytical aid tools (Tableau, Looker Studio, Excel and PowerPoint knowledge).
 </li>
 <li>
 Database management skills through the use of programming languages (SQL/Python).
 </li>
 <li>
 Proactive and autonomous approach to working with critical thinking, collaboration &amp; creativity.
 </li>
 <li>
 Languages: English (Spanish as a enabler).
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, economics, data analytics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are interested on this possition, do not hesitate to apply. You will feel at home.
 
 
</div>

Data Scientist

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to 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, visualization 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><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
</li><li>Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
</li><li>Hands-on experience in Data Science ecosystem.
</li><li>Hands-on experience in Gen AI, LLMs and Agentic AI
</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!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>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>

Emirates

<div>
 
 Job Purpose
 
 
 
 At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
 
 
 The purpose of the Data Scientist is to 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, visualization 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:
 
 
 
 <ul>
 <li>
 Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li>
 <li>
 Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
 </li>
 <li>
 Hands-on experience in Data Science ecosystem.
 </li>
 <li>
 Hands-on experience in Gen AI, LLMs and Agentic AI
 </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>

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>

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.</li>
<li>5+ years of experience in AI/ML strategy, leadership, and delivery.</li>
<li>Minimum of 12 years of experience is required</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
<li>Technical & Strategic Requirements</li>
<li>Strategic AI Leadership:</li>
<li>Defines and drives AI roadmaps aligned with corporate goals.</li>
<li>Oversees model lifecycle from experimentation to production.</li>
<li>LLM & NLP (Architect Level):</li>
<li>Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.</li>
<li>Leads fine-tuning or domain-specific pretraining using proprietary datasets.</li>
<li>Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.</li>
<li>Defines governance, compliance, and security standards for LLM deployments.</li>
<li>Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.</li>
<li>Infrastructure & Governance:</li>
<li>Owns data governance policies, feature stores, and model observability infrastructure.</li>
<li>Collaborates with DevOps and Security to ensure scalability and resilience.</li>
<li>Team & Stakeholder Leadership:</li>
<li>Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).</li>
<li>Communicates directly with executive management and non-technical stakeholders.</li>
<li>Evaluates vendors and partnerships for AI acceleration.</li>
<li>Leadership Competencies</li>
<li>Visionary mindset driving innovation across business units.</li>
<li>Excellent executive communication and influence skills.</li>
<li>Focused on measurable ROI, scalability, and ethical AI.</li>
<li>Mentors senior scientists, defining best practices and research direction.</li>
</ul>

Lead Data Scientist

Envision Employment Solutions is currently looking for a Senior Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Qualifications</li>
<li>Bachelor’s or Master’s degree in Data Science, AI, or Computer Science.</li>
<li>4 to 6 years of experience is required,</li>
<li>Strong record of production-grade ML/NLP projects.</li>
<li>Experience leading small data science teams or research initiatives.</li>
<li>Technical Requirements</li>
<li>Deep expertise in model architecture design, feature stores, and model monitoring.</li>
<li>Experience in ensemble blending, A/B testing, and model explainability (SHAP, LIME).</li>
<li>Builds and fine-tunes transformer-based models for custom tasks (summarization, Q&A, document intelligence).</li>
<li>Implements RAG (Retrieval-Augmented Generation) and embedding-based semantic search.</li>
<li>Integrates vector databases (Pinecone, FAISS, Chroma).</li>
<li>Uses LangChain or LlamaIndex for orchestration.</li>
<li>Evaluates and optimizes prompt templates and context length efficiency.</li>
<li>Designs data pipelines (Airflow, Spark, Dataiku).</li>
<li>Deploys scalable APIs, manages CI/CD, monitoring, and drift detection.</li>
<li>Works closely with product and engineering teams to embed AI in production systems.</li>
<li>Leadership & Soft Skills</li>
<li>Leads small teams or workstreams.</li>
<li>Ensures project quality, deadlines, and alignment with business KPIs.</li>
<li>Coaches mid-level team members and contributes to talent development.</li>
</ul>

Senior Data Scientist

GIG Gulf

<div>
 
 
 Who we are
 
 
 
 GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 4.01 billion and $84 million net profit for the year 2024. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 
 
 
 
 
 GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 
 
 
 
 
 GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way.
 
 
 
 
 
 
 Job purpose:
 
 
 
 If you&rsquo;re a dynamic Actuarial Data Scientist with 3 to 5 years of significant P&amp;C or Healthcare actuarial reserving experience, join us to revolutionize healthcare insurance through transformative power of data-driven approaches.
 
 
 
 
 
 As an Actuarial Data Scientist at GIG you&rsquo;ll play a vital role in strategic decisions by combining actuarial insights with data science methodologies. Collaborate across departments, analyze complex datasets, build robust models, and utilize visualization tools to shape healthcare reserving results and contribute to an accurate profitability analysis of the business.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Manage monthly reserving tasks for Healthcare lines of business, ensuring precision and regulatory compliance.
 </li>
 <li>
 Develop tailored reserving models for diverse Healthcare segments, encompassing Commercial Lines (SME, Corp) and Personal Lines (PL).
 </li>
 <li>
 Conduct profitability analysis for various Healthcare segments, contributing to well-informed strategic decisions.
 </li>
 <li>
 Contribute to regulatory reporting, including the implementation of IFRS17 requirements.
 </li>
 <li>
 Foster collaboration with external actuaries, auditors, and reinsurers for alignment and compliance.
 </li>
 <li>
 Assist in ad-hoc studies requested by the Head of Actuarial across various lines of business.
 </li>
 <li>
 Stay updated with industry trends and best practices in both actuarial science and data science domains.
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Technical Responsibilities:
 
 
 <ul>
 <li>
 Collaborate closely with actuarial, IT, risk management, claims operations, accounting, and audit teams to understand business needs and develop data-driven solutions for healthcare reserving.
 </li>
 <li>
 Display expertise in a range of reserving techniques, including Chain Ladder, Mack, Bootstrap and stochastic modeling.
 </li>
 <li>
 Demonstrate proficiency in industry-standard software such as ResQ and IBNRS for robust reserving knowledge.
 </li>
 <li>
 Utilize advanced data science tools including SQL, Postgres, Python, and C++ for data manipulation and analysis.
 </li>
 <li>
 Employ tools like Power BI for dynamic dashboard creation, effectively communicating intricate findings.
 </li>
 <li>
 Apply statistical analysis and predictive modeling to identify trends and risks within complex healthcare datasets.
 </li>
 <li>
 Collaborate with IT teams to ensure data security, integration, and integrity, actively contributing to data governance.
 </li>
 </ul>
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Actuarial Science, Mathematics, Statistics, Data Science, or related fields.
 </li>
 <li>
 3 to 5 years of significant experience in P&amp;C or Healthcare actuarial reserving positions, with a strong focus on healthcare reserving and related tasks.
 </li>
 <li>
 Proficiency in SQL for data extraction, transformation, and querying from relational databases.
 </li>
 <li>
 Strong coding skills in R and Python, along with C++, with familiarity in tools like SAS and Postgres.
 </li>
 <li>
 Sound experience in advanced statistical analysis, predictive modeling, and data visualization techniques and tools such as Power BI.
 </li>
 <li>
 In-depth knowledge of various P&amp;C reserving techniques, including Chain Ladder, Mack, Bootstrap stochastic modeling, Bornhuetter-Ferguson, etc.
 </li>
 <li>
 Effective communication skills for translating complex findings to diverse audiences.
 </li>
 </ul>
 
 
 
 
 
 Desirable Requitements:
 
 
 <ul>
 <li>
 Actuarial certification (partially or fully validated) from globally recognized institutions such as SOA, IFoA, French Institute of Actuaries, or equivalent actuarial bodies is advantageous.
 </li>
 <li>
 Good knowledge of machine learning libraries and techniques.
 </li>
 <li>
 Familiarity with AWS Datalake and understanding of R Shiny would be beneficial.
 </li>
 <li>
 Experience in the healthcare insurance industry is a plus.
 </li>
 </ul>
 
 
</div>

Actuarial Data Scientist

Explore 2026+ Data scientist in Dubai Jobs In Dubai Jobs In Dubai United Arab Emirates this December. Find roles across top companies and apply now to boost your career.

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