32 Data Analysis Roles jobs in Dubai

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow, Databricks, and Azure ML , and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

• ML Pipeline Engineering : Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.

• Model Development : Develop and optimize ML models, particularly for healthcare predictive analytics .

• Integration : Embed ML models into KPI-driven data processing and analytics workflows .

• Model Lifecycle Management : Implement model monitoring, drift detection, retraining, and continuous improvement strategies.

• Collaboration : Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.

• 6+ years of experience in machine learning engineering or applied data science .

• Hands-on expertise with MLFlow, Databricks, and Azure ML .

• Strong experience in developing and deploying predictive ML models , ideally within healthcare.

• Proficiency in Python, SQL, PySpark , and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).

• Knowledge of model monitoring, drift detection, and automated retraining strategies .

• Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).

• Strong problem-solving and collaboration skills with a focus on production-grade delivery.

• Work on cutting-edge healthcare predictive analytics solutions .

• Gain exposure to enterprise-scale ML pipelines on modern platforms.

• Opportunity to drive end-to-end ML lifecycle ownership .

• Competitive compensation and career growth in a fast-growing data-driven organization.

Overview

MAIN OBJECTIVE OF ROLE To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage.

• Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
• Drives continuous process improvement and optimization by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
• Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
• Develops and executes the organization’s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
• Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
• Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
• Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
• Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
• Defines KPIs and tracks ROI for AI initiatives to ensure value delivery and continuous improvement.
• Acts as a “data translator,” bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.

• Bachelor's Degree (3+ years)
• Degree in Information Technology, Computer Science, Data Science, or related field
• Fluent in English
• Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.
• Years with qualifications: 10 - 12 years
• Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage

• Customer Focus
• Teamwork
• Effective Communication
• Personal Accountability & Commitment to achieve
• Resilience & Flexibility (Can do attitude)
• Decision Making
• Inspiring & Developing Others
• Strategic Thinking
• Business Acumen

Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.

Data Science Manager - Customer | Al-Futtaim Automotive

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’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
As a Data Science Manager (Customer) at Al-Futtaim Automotive, you will lead customer-centric AI and advanced analytics initiatives that drive marketing performance and enhance the customer experience. This role focuses on building predictive models, customer insights, and hyper-personalization solutions that create measurable business impact.

What you will do

• Build and deploy predictive models such as lead scoring, precision marketing, marketing attribution, customer segmentation, and hyper-personalization.
• Standardize and optimize marketing performance KPIs across brands using advanced statistical methods and data visualization.
• Deliver actionable customer insights through cohort analysis, customer lifetime value modelling, churn prediction, and campaign performance analysis.
• Collaborate with stakeholders to identify, define, and prioritize high-impact use cases supported by data-driven business cases.
• Lead and mentor a team of data scientists to deliver scalable AI/ML solutions that directly improve marketing ROI and customer experience.

Required skills to be successful

• Advanced knowledge of ensemble methods, gradient boosting, uplift modelling, and multi-arm bandits for marketing optimization.
• Expertise in attribution models (Markov chains, Shapley values), clustering techniques, recommender systems, and hyper-personalization.
• Proficiency in NLP, reinforcement learning, cohort analysis, lifetime value modelling, and churn prediction.
• Strong problem-solving skills and the ability to translate complex data science solutions into business value.
• Excellent stakeholder management, communication, and project management capabilities.

About the team
You will report to the Head of Customer Data Science and lead a small team comprising a Data Science Manager and Data Scientists. The team plays a pivotal role within the Finance Department at Al-Futtaim Automotive, driving innovation in customer analytics and marketing science.

What equips you for the role

• Bachelor’s, Master’s, or PhD in Marketing Analytics, Computer Science, or a related field.
• 7+ years of experience in customer analytics, data science, and AI/ML solutions.
• Hands-on expertise with machine learning techniques including CNNs, RNNs, LSTMs, time series forecasting, survival analysis, graph neural networks, Bayesian and causal modelling.
• Skilled in Python, SQL, Databricks, and modern ML libraries (scikit-learn, TensorFlow, PyTorch, Prophet, ARIMA/SARIMA).
• Proficient in CRM systems, marketing analytics platforms, and MLOps practices.
• Experience with LLMs, RAGs, and modern AI-based recommendation systems.
• Strong leadership skills to manage and mentor a data science team.

About Al-Futtaim Automotive
A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world’s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

Data Science Manager - Finance | Al-Futtaim Automotive

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’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

As a Data Science Manager(Finance) at Al-Futtaim Automotive, you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision-making. This role focuses on advanced predictive modelling, financial forecasting, and portfolio optimization to create measurable impact across the organization

• Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.
• Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.
• Generate financial insights through time series analysis, portfolio optimization, survival analysis, and risk modelling.
• Collaborate with finance and risk teams to identify and prioritize high-potential data-driven use cases.
• Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models

• Advanced expertise in time series forecasting, regression, logistic regression, and random forests.
• Strong skills in survival analysis, neural networks, reinforcement learning, and genetic algorithms.
• Deep knowledge of portfolio optimization, risk modelling, and causal inference techniques.
• Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.
• Strong understanding of financial regulations and their impact on AI/ML model development.
• Excellent stakeholder management and ability to translate complex financial models into actionable insights

You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager. The team operates within the Finance Department, playing a critical role in enhancing financial planning, risk management, and profitability through advanced analytics

• Bachelor’s, Master’s, or PhD in Financial Analytics, Computer Science, or related field.
• 7+ years of experience in financial analytics, data science, and machine learning.
• Hands-on expertise in advanced statistics, optimization, causal and Bayesian modelling, time series forecasting, Monte Carlo simulations, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, problem-solving, and communication skills to manage teams and deliver business impact.

About Al-Futtaim Automotive : A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world’s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

Overview

Data Science Manager (Operations) at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.

• Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.
• Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.
• Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.
• Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.
• Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.

• Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.
• Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.
• Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.
• Familiarity with deep learning frameworks and pattern recognition for complex operational data.
• Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.

You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.

• Bachelor’s, Master’s, or PhD in Computer Science, Statistics, or a related field.
• 7+ years of experience in data science, operations analytics, or AI-driven business transformation.
• Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, communication, and project management skills.

A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities include distribution, manufacturing, leasing and aftersales, and we are the regional representative of brands such as Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, pushing innovation, quality standards, and value-added service across our customer base. Our mission is to become the leader in mobility solutions by delivering world-class omni-channel experiences. We employ a 9,000-member team with growth opportunities across the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

Key Responsibilities:

• Collect, compile, and validate data from multiple internal and external sources.

• Prepare and maintain MIS reports on a daily, weekly, monthly, and quarterly basis.

• Analyze trends, patterns, and anomalies in data to support business decisions.

• Collaborate with department heads to understand reporting requirements.

• Develop dashboards, charts, and visual reports to communicate findings effectively.

• Ensure accuracy, consistency, and timeliness of all reports.

• Identify opportunities for process improvement in data collection and reporting.

• Assist in ad-hoc data analysis projects as required.

Required Skills & Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Finance, or related field .

• Proven experience in MIS reporting and data analysis (2+ years preferred).

• Strong proficiency in MS Excel, Power BI, Tableau, or other data visualization tools .

• Knowledge of SQL or database management is an advantage.

• Strong analytical and problem-solving skills.

• Attention to detail with a commitment to data accuracy .

• Good communication skills to present findings clearly to stakeholders.

Preferred:

• Familiarity with ERP systems like SAP, Oracle, or Microsoft Dynamics.

What We Offer:

• Dynamic work environment with opportunities for growth.

• Exposure to cross-functional projects and data-driven decision-making .

• Competitive salary and benefits package.

DT One operates a global network for mobile top-up solutions and innovative mobile rewards. By using smarter mobile technology solutions we enable more people in emerging economies to be more connected more often - so that no one is left out.

Through our network of over 1500 partners we interconnect over 550 mobile operators in 160 countries, with a market of more than five billion consumers.

We are headquartered in Singapore with regional offices in Barcelona, Dubai, London Manila and Miami.

DT One is committed to empowering people and businesses through accessible and reliable mobile top-ups and digital non-cash micropayments.As the communications and fintech landscapes evolve, DT One stands poised to play a pivotal role in shaping the future of cross-border micropayments and digital value payments.

We are seeking a highly motivated Data Analyst with strong data analysis skills. This role offers an exciting opportunity to work on an international stage, collaborate with renowned companies, and join a rapidly growing FinTech company that makes a real impact on the lives of people in developed and emerging markets. As a part of our friendly and collaborative team, you will contribute to supporting exciting projects. The role will be based in Singapore.

What you’ll do

• Utilize data analysis techniques, technology, and data structures to identify relevant data sets and build KPIs
• Work closely with Stakeholders to execute a data-driven approach using advanced visualizations to enhance risk and performance monitoring in the compliance program.
• Extract, prepare, and model large, complex data sets, employing machine learning, mathematics, statistics, and programming.
• Develop logical and physical data models, data modelling methodologies, metadata management, master data management, and data lineage techniques.
• Collaborate with stakeholders to leverage predictive analytics, machine learning, and other advanced data science capabilities for compliance insights.
• Provide business intelligence, analysis, and compliance-related information to refine regulatory and compliance policies, programs, processes, and tools.
• Design analytics and business intelligence solutions to drive insights and support risk assessment, monitoring, and other compliance activities.
• Create and implement interactive dashboards using visualization tools.
• Develop scalable analytical and reporting solutions using SQL and other relevant tools
• Communicate complex topics effectively to non-technical audiences.
• Identify opportunities, provide analytics-based insights with actionable recommendations and develop innovative new tools for the compliance organization.
• Perform other duties as assigned.

What we are looking for

• Strong educational background, ideally a Master’s or BSc in a quantitative discipline (math, statistics, economics, computer science) from an accredited University or College.
• 1-3 years of experience working with complex data sets, data modelling, or data science roles.
• 2-4 years of experience with data scripting languages (e.g., SQL, Python, R).
• 2-4 years of experience in data visualization, leveraging Tableau, Power BI, or similar platforms.
• Demonstrated ability to manage key stakeholder relationships and prioritize tasks.
• Broad understanding of business operations.
• Superior communication, organization, presentation, and data visualization skills.
• Excellent project management and time management skills.
• Ability to generate and execute creative ideas.
• Skill in tailoring content, presentation, and language to various audiences.
• Ability to think creatively and implement practices that enhance efficiency and effectiveness.
• Experience leveraging analytics to address risks.
• Track record of successfully driving complex projects to timely completion.
• Expert proficiency in all Microsoft Office Applications, particularly Excel, Word, and PowerPoint.

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APPLICATION INSTRUCTIONS Please ensure that your CV is uploaded in English and that you answer the questions below. Incomplete information may disqualify your application * Select.

Please confirm the basis of your right to live and work in Singapore. *

Position Reference No. FGI-PCRDA

Prepared on 12 th December 2024
Position: Data Analyst
Location: FGi Solutions Middle East Office, Dubai
Job Type: Full-time, 6-month probationary period with performance-based incentives

Job Description:
FGi Global Solutions is seeking a motivated and skilled Data Analyst to join our dynamic team in Dubai. This position focuses on data analytics and business intelligence to identify, assess, and prioritize business opportunities in government and international contracting sectors. The Data Analyst will play a crucial role in leveraging data to support the sales team’s decision-making process and ensure FGi’s competitive advantage in bidding for key projects.

Key Responsibilities:

• Data Analysis: Analyze large datasets to identify trends, opportunities, and competitive intelligence in U.S., UN, and EU contracting markets.
• Business Intelligence: Use analytics tools and platforms to gather insights that support the bid/no-bid decisions for key projects.
• Opportunity Assessment: Evaluate and rank business opportunities by aligning them with FGi’s strengths, capabilities, and market positioning, and as well as assigning it to the sales team member aligning with their expertise and past performance.
• Market Research: Conduct research on prospective clients, competitors, and industry trends to build comprehensive business intelligence reports.
• Reporting & Dashboards: Create clear, actionable reports and dashboards that provide insights for decision-making by the sales and leadership teams.
• Client Interaction: Engage with former/existing clients to gather insights on future needs and to inform bidding strategies.
• Tool Utilization: Work with industry intelligence platforms and tools to track relevant government contracts and funding opportunities. FGi will provide training and support.

Training and Development: Participate in ongoing training to improve proficiency with data analytics tools and government contracting platforms.

Required Skills and Qualifications:

• Some industry experience, preferably in data analytics, business intelligence, or government contracting.
• Familiarity with data analysis techniques and tools (Excel, Power BI, or similar).
• Understanding of business intelligence concepts and how to apply them in the capture process.
• Basic knowledge of U.S., UN, or EU contracting regulations and processes.
• Strong analytical thinking and problem-solving skills to identify opportunities and risks.
• Excellent communication skills to present data-driven insights and work collaboratively with internal teams.
• Knowledge of French is a plus but not required.

Skills to Develop:

• Deepen understanding of FGi’s business strengths and offerings through data analysis.
• Build expertise in using analytics tools to drive capture success.
• Learn and grow within a business intelligence role by collaborating closely with FGi’s sales, management, and operations teams.

Behaviors (Values in Practice):

Accountability:

• Holds self-accountable for making decisions, managing resources efficiently, achieving and role modeling FGi Solutions Values.
• Holds the team and partners accountable to deliver on their responsibilities – giving them the freedom to deliver best way they see fit, providing the necessary development to improve performance, and applying appropriate consequences when results are not achieved.

Ambition:

• Widely shares his/her personal vision for FGi Solution, engages and motivates others.
• Future oriented, this strategically and on a regional scale.

Collaboration:

• Builds and maintains effective relationships, with the colleagues, managers, and other external suppliers, vendors, agents, and customers.
• Values diversity sees it as a source of competitive strength.
• Approachable, good listener and easy to talk to.

Creativity:

• Develops and encourages new and innovative solutions.
• Willing to take disciplined risks.

Integrity:

• Honest, encourages openness and transparency, demonstrates highest levels of integrity.

Benefits:

WHAT DOES FGI HAVE TO OFFER?

With a genuine culture of recognition, we want our employees to grow, develop and be part of our journey. We offer a benefits package with a focus on your well-being. This includes competitive Salary, Incentive, and annual bonus.

We are a team in every sense, and we support each other and work as cohesive team to achieve our goals. Our goal is that you will be compensated for your hard work and commitment, so if you’d like to work for one of the top Supply Chain Solutions providers, let’s work together to help you find your new role.

Some of our Benefits look like:

• Great Remuneration
• Rewards & Recognition (Performance Basis)
• Growth & Excellence
• Supportive Team and Management
• Great Networking Opportunities
• Bustling Work Location

Who We Are:

Headquartered in the United States, with operations in Africa, the Middle East, East Europe, and Asia, expeditionary solutions provider with a long record of success. Built on a legacy family business, FGi has grown from a trading corporation into a Global Contingency Operations support enterprise.

FGi field operations utilize local personnel and expertise wherever possible, thus supporting local communities and bolstering fragile economies while offering cost-effective services to our clients.

FGI has been recognized by ISOA for the 2022 Global Impact Award, achieved and maintained the 2022 Women, Peace, and Security (WPS) Program and ISO 9001:2015 quality system certifications, and meets multiple customer quality standards.

To learn more about us, visit our websites: /