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Searchability®

<div>
 
 
 🖥️ Data Scientist 🖥️
 
 
 
 
 
 
 📍Based in
 
 Dubai!
 
 📍
 
 
 
 
 
 *Please note - the opportunity is only open to those who already reside in
 
 Dubai*
 
 
 
 
 
 
 
 
 
 💰 Salary on offer is between Dh 15,000-20,000 p/m 💰
 
 
 
 
 
 
 
 
 Searchability MENA is partnered with a leading
 
 FinTech
 
 organization, shaping the future of financial services through AI, ML, and advanced analytics.
 
 
 
 
 
 **Prior experience in delivering ML-driven analytics across lending, cards, customer lifecycle, and risk domains within FinTech or financial services is highly valued**
 
 
 
 
 
 Passionate about building ML models? - then look no further!
 
 
 
 
 
 Be part of a high-impact
 
 FinTech
 
 analytics team, deploying ML models and data products that directly drive growth, manage risk, and enhance customer experience.
 
 
 
 
 
 
 👀Here's what they're looking for: 👀
 
 
 
 
 
 <ul>
 <li>
 
 3+ years&rsquo;
 
 experience in Data Science.
 </li>
 <li>
 Python, R, and SQL.
 </li>
 <li>
 
 Machine Learning, statistical modelling, predictive &amp; prescriptive analytics.
 
 </li>
 <li>
 Experience in deploying end-to-end
 
 AI/ML models.
 
 </li>
 <li>
 Experience in a fast-paced/dynamic environment
 </li>
 <li>
 Cloud platforms, including AWS, Azure, and GCP, with big data experience.
 </li>
 <li>
 Experience in banking and financial services, spanning cards, lending, SME, digital channels, and risk.
 </li>
 <li>
 Ability to translate complex analytics into clear business recommendations.
 </li>
 </ul>
 
 
 
 
 
 🙌🏼 The benefits: 🙌🏼
 
 
 
 
 
 <ul>
 <li>
 Family Visa Sponsorship and Medical Cover
 </li>
 <li>
 Annual Flight Ticket
 </li>
 </ul>
 
 
 
 
 👆 Does this sound exactly like what you're looking for?
 
 
 Hit apply today, and we can discuss further 👆
 
 
 
 
 
 **Please note: Only suitable candidates will be contacted for this position.**
 
</div>

Data Scientist

Hays

<div>
 
 We are searching for an impactful Data Scientist to join the high-profile Advanced Analytics Centre of Excellence (CoE) at one of the Middle East's leading financial institutions. This initiative is central to the bank's strategy, tasked with delivering AED multi-million business impact and fostering a data-driven culture across the organization.
 
 
 This role is for a technical leader ready to take ownership of the entire Machine Learning lifecycle.
 
 
 
 
 
 The Opportunity:
 
 <ul>
 <li>
 High Visibility: The CoE is governed at the ExCo level, ensuring strategic importance and ringfenced resources.
 </li>
 <li>
 Direct Impact: Design and deploy ML models that directly support high-value use cases, collaborating within cross-functional AA squads.
 </li>
 <li>
 Mentorship: Play a key role in guiding and mentoring junior colleagues, contributing to the growth of the CoE's technical capabilities.
 </li>
 </ul>
 
 
 
 
 Required Profile:
 
 <ul>
 <li>
 Experience: 6-8 years of validated experience in a Data Science role.
 </li>
 <li>
 Education: An Advanced Degree (MS/Ph.D.) in a quantitative discipline (Statistics, Math, Computer Applications, Economics) is highly desirable.
 </li>
 <li>
 Core Skills: Expertise in R or Python, Machine Learning, Statistics, and Optimization.
 </li>
 <li>
 Big Data: Essential experience with large data sets and distributed computing tools (e.g., Spark, Hadoop, Hive).
 </li>
 <li>
 Soft Skills: Proven ability to work in agile environments, compelling communication skills, and excellent stakeholder management.
 </li>
 </ul>
</div>

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>

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 Principal Data Scientist &ndash; Cyber Security | Dubai
 
 
 
 
 
 We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
 
 Principal Data Scientist
 
 . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 
 
 
 
 
 You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
 
 AI, data, and cyber security
 
 , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
 </li>
 <li>
 Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
 </li>
 <li>
 Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
 </li>
 <li>
 Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
 </li>
 <li>
 Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 
 10+ years of experience
 
 in data science, machine learning, or applied AI, with a focus on hands-on technical work.
 </li>
 <li>
 Strong background in
 
 cyber security
 
 , ideally with experience in malware analysis, SOC operations, or threat intelligence.
 </li>
 <li>
 Proven record of building
 
 production-grade ML systems
 
 and data architectures.
 </li>
 <li>
 Advanced proficiency in
 
 Python
 
 ,
 
 TensorFlow/PyTorch
 
 , and distributed data technologies (Spark, Kubernetes, etc.).
 </li>
 <li>
 Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
 </li>
 <li>
 Strong communicator and problem-solver, able to operate both strategically and technically.
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

Principal Data Scientist

Al-Futtaim

<div>Job Requisition ID: 174624
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day 

Overview Of The Role: 
<ul>
<li>The Data Scientist role at Al-Futtaim is centered on designing, building, and productionizing advanced analytics and GenAI-powered solutions. The purpose of the role is to enhance insights, recommendations, and decision-making across enterprise platforms. Success is measured by the ability to develop scalable, reliable machine learning and GenAI models that meet enterprise standards of governance, security, and compliance. The incumbent will collaborate with cross-functional teams to deliver impactful data-driven insights.</li></ul> 
 
What You Will Do: 

Advance Analytics &amp; Data Science
<ul>
<li>Translate business problems into data science, statistical, and machine learning solutions that drive measurable outcomes across enterprise use cases.</li>
<li>Perform data exploration, feature engineering, model development, and evaluation on large-scale structured and semi-structured datasets.</li>
<li>Build and deploy predictive, prescriptive, and descriptive models, ensuring interpretability, robustness, and alignment with business objectives.</li>
<li>Partner closely with business, product, and analytics teams to validate assumptions, define success metrics, and deliver actionable insights.</li></ul> 


Applied GenAI &amp; LLM Enablement
<ul>
<li>Apply GenAI techniques to augment data science workflows, including LLM-based insight generation, summarization, classification, and decision support.</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) solutions to ground LLM outputs in enterprise data and analytical results.</li>
<li>Collaborate on GenAI-enabled analytical applications with a focus on accuracy, relevance, and explainability.</li>
<li>Evaluate and benchmark GenAI outputs using quantitative and qualitative metrics, ensuring alignment with business and analytical standards.</li></ul> 


Enterprise Productionization &amp; MLOps/ LLMOps
<ul>
<li>Productionize data science and GenAI models using enterprise-grade MLOps / LLMOps practices, including versioning, deployment, monitoring, and retraining strategies.</li>
<li>Build scalable, secure, and reliable analytical pipelines in collaboration with Data Engineering and Cloud teams.</li>
<li>Monitor model performance, data drift, and GenAI output quality, and drive continuous improvements based on real-world usage.</li>
<li>Ensure solutions meet enterprise requirements for governance, security, compliance, and responsible AI.</li></ul> 


Performance Measurement &amp; Continuous Improvement
<ul>
<li>Define and track model and GenAI performance metrics (accuracy, stability, bias, latency, business impact).</li>
<li>Run experiments and controlled rollouts to optimize models, GenAI prompts, and retrieval strategies.</li>
<li>Continuously enhance solutions through feedback loops, experimentation, and evolving business needs.</li></ul> 
 
Required Skills To Be Successful: 
<ul>
<li>Strong foundation in statistics, machine learning, and applied data science.</li>
<li>Proficiency in Python, SQL, and Spark with expertise in data processing and analytical pipelines.</li>
<li>Hands-on experience with the Databricks ecosystem for deploying data science and GenAI solutions.</li>
<li>Practical exposure to MLOps / LLMOps practices, including model versioning and monitoring.</li></ul> 


About the Team

This role reports to Data Science Lead 

What Equips You For The Role: 
<ul>
<li>8+ years of experience in Data Science / AI Engineering, focusing on building and deploying machine learning models, including supervised, unsupervised, and time-series models.</li>
<li>6+ years of experience in feature engineering, model evaluation, and performance optimization.</li>
<li>4+ years of experience with NLP or language-based systems, including text classification, information extraction, and semantic modeling.</li>
<li>2+ years of experience in delivering GenAI or conversational AI solutions in production, focusing on applied LLM use cases, RAG, and enterprise deployment.</li></ul> 
About Al-Futtaim Group Real Estate 
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years. 
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us. 
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.
About Al-Futtaim Malls 
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.
Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.
Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.
For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
About Al-Futtaim Engineering &amp; Technologies 
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions. 
 
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation. 
 
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services. 
 
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</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

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

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Actuarial Data Scientist