data scientist

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senior c++ software engineer

senior data scientist

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senior social and labour specialist

senior scientist

Soum

<div>
 Role: Senior Data Scientist
 
 
 Location: Egypt, Uzbekistan, and Pakistan (Remote)
 
 
 Work Week: Sunday &ndash; Thursday
 
 
 Work Timings: 9:00 AM &ndash; 6:00 PM (Saudi Arabian Time Zone)
 
 
 Overview:
 
 
 We&rsquo;re looking for a Senior Data Scientist to lead the development and deployment of advanced machine learning models that power critical business decisions. In this role, you&rsquo;ll drive end-to-end ownership of ML solutions, from design and optimization to deployment and monitoring in production environments. You&rsquo;ll also play a key role in shaping our data science strategy, mentoring junior team members, and ensuring that analytics insights translate into measurable business impact. This is a high-visibility role where your expertise will directly influence product innovation and growth.
 
 
 
 Role &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Model Development and Optimization:
 </li>
 <li>
 Lead the design, development, and deployment of advanced ML models for complex use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting
 </li>
 <li>
 Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs
 </li>
 <li>
 Continuously optimize algorithms for performance, accuracy, and efficiency
 </li>
 <li>
 Deployment and Integration:
 </li>
 <li>
 Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP)
 </li>
 <li>
 Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines
 </li>
 <li>
 Champion automation of model training, validation, and deployment workflows to improve system reliability
 </li>
 <li>
 Analytics Strategy &amp; Enablement:
 </li>
 <li>
 Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling
 </li>
 <li>
 Translate complex data insights into business impact, clearly communicating ROI to stakeholders
 </li>
 <li>
 Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders
 </li>
 <li>
 Leadership &amp; Collaboration:
 </li>
 <li>
 Mentor junior data scientists and analysts, providing technical guidance and career development support
 </li>
 <li>
 Collaborate closely with engineering and product leadership to shape the company&rsquo;s data science strategy
 </li>
 <li>
 Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Proficiency in Python and SQL, with hands-on expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Strong knowledge of deployment tools (Docker, Kubernetes, cloud platforms) and MLOps best practices
 </li>
 <li>
 Proven ability to design and maintain production-grade ML systems
 </li>
 <li>
 Deep understanding of statistical analysis, hypothesis testing, and data visualization
 </li>
 <li>
 Knowledge of cloud-serverless technologies (AWS Lambda, GCP Functions, Azure Functions)
 </li>
 <li>
 Strong familiarity with GCP is a plus
 </li>
 <li>
 Prior experience deploying ML solutions in E-commerce or high-growth environments is highly desirable
 </li>
 <li>
 Familiarity to work with Git and GitHub
 </li>
 <li>
 Dataform is a must
 
 
 
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 5+ years in data science, including hands-on ML model development and deployment
 </li>
 <li>
 3+ years in data analytics, statistical modeling, and experimentation
 </li>
 <li>
 Experience mentoring or leading junior data scientists
 </li>
 <li>
 Exposure to fast-scaling startup or tech environments is a strong plus
 
 
 
 
 </li>
 </ul>
</div>

Senior Data Scientist

Archer Integrated Risk Management

<div>
 Job Details
 
 
 
 Description
 
 
 
 For nearly 25 years, Archer has been a pioneer and a trusted global leader in delivering comprehensive compliance and risk management solutions to empower organizations to effectively navigate risks, ensure compliance, and achieve their business objectives. Our innovative GRC solutions are designed to provide companies with a clear, unified perspective on their risk landscape and enable data-driven decision-making and strategic planning. By leveraging cutting-edge technologies such as AI and risk quantification, we equip our clients to anticipate, adapt to, and overcome challenges in today&rsquo;s rapidly evolving market. At Archer, we don&rsquo;t just help organizations manage risk &mdash; we help our clients transform risk into a strategic advantage and turn uncertainty into opportunity. Learn more at www.ArcherIRM.com
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights based on large-scale data.
 </li>
 <li>
 Consolidates and analyzes structured and unstructured data sources to generate insights and solutions for actionable business insights.
 </li>
 <li>
 Executes preliminary data exploration, data preparation steps and variable/algorithm selection as well as model development/validation and scoring.
 </li>
 <li>
 Works under limited supervision with internal and external teams to understand requirements and develop proposals.
 </li>
 <li>
 Experiment to prove workability for suggested solution by building steel frame, POCs, prototypes and MVPs.
 </li>
 <li>
 Reiterate to seek feedback, implement with agility to deliver incrementally with speed while responding swiftly to requested changes.
 </li>
 <li>
 Provide technical assistance and guidance to other team members whenever applicable, while working in self-disciplined and self-organized environment. Other Duties:
 
 
 </li>
 </ul>
 Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice at management discretion based on business need.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of relevant working experience.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or Computer Engineering.
 </li>
 <li>
 Solid knowledge of a variety of machine learning techniques (Classification, Regression, Clustering, Similarity Matching, Profiling, Link Prediction, etc.) and experience with using machine learning algorithms (k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, etc.) to solve real-world business problems.
 </li>
 <li>
 Solid applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
 </li>
 <li>
 Experience with a statistical programming language like R or Python.
 </li>
 <li>
 Experience with SQL and NoSQL databases.
 </li>
 <li>
 Experience with using data visualization tools like ggplot, d3.js, Tableau or PowerBI.
 </li>
 <li>
 Experience with software development agile methodologies.
 </li>
 <li>
 Familiarity with JavaScript.
 </li>
 <li>
 Familiarity with AWS RDS, Redshift and S3.
 
 
 </li>
 </ul>
 Archer is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Archer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, protected veteran status, genetic information, or any other characteristic protected by federal, state or local laws. Archer will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All Archer employees are expected to support this policy and contribute to an environment of equal opportunity.
 
 
 If you need a reasonable accommodation during the application process, please contact talent-acquisition@archerirm.com. All employees must be legally authorized to work in Egypt or hold the required visa/permit. Archer and its approved consultants will never ask you for a fee to process or consider your application for a career with Archer. Archer reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 Our Purpose - Bridging the World Through Travel
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Get to Know Our TeamThe Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 The Opportunity
 
 
 Please note -The role will be based in Bangkok.
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 In This Role, You&rsquo;ll Get to
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 It&rsquo;s Great if You Have
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 Equal Opportunity Employer
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 Disclaimer
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Foodics

<div>
 
 Who Are We❓
 
 
 
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
 </li>
 <li>
 Design and develop scalable solutions using classical ML and GenAI techniques
 </li>
 <li>
 Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
 </li>
 <li>
 Collaborate with squads and platform teams to ensure reusability and adherence to standards
 </li>
 <li>
 Mentor junior ML engineers and contribute to the internal ML knowledge base
 </li>
 <li>
 Integrate models with APIs and backend services as needed
 </li>
 <li>
 Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' experience in applied ML, AI, or data science
 </li>
 <li>
 Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
 </li>
 <li>
 Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
 </li>
 <li>
 Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
 </li>
 <li>
 Proven track record of deploying ML models in production at scale
 </li>
 <li>
 Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
 </li>
 <li>
 Strong understanding of data pipelines, experimentation, and model evaluation
 </li>
 <li>
 Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
 </li>
 <li>
 Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 We believe you will love working at Foodics!
 
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation
 </li>
 <li>
 We offer highly competitive compensation packages, including bonuses and the potential for shares
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company
 </li>
 </ul>
</div>

Senior Data Scientist / Senior ML Engineer

Worley

<div>
 
 Building on our past. Ready for the future
 
 
 
 Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We&rsquo;re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
 
 
 
 Job Requirements
 
 
 
 
 Job Specific Knowledge:
 
 
 
 <ul>
 <li>
 B
 
 
 </li>
 </ul>
 iodiversity specialist / consultant with background on Environmental Sciences and Ecology. Knowledge on International biodiversity standards (I.e., IFC Performance Standard 6).
 
 
 <ul>
 <li>
 Knowledge on International Standards to develop Environmental and Social Impact Assessments (ESIA).
 
 
 </li>
 </ul>
 
 Industry Specific Experience:
 
 
 
 <ul>
 <li>
 Experience on Biodiversity assessments, Environmental Impact assessments, ecosystem services and Natural Capital related projects as well as Sustainability Assessments
 </li>
 <li>
 Experience in onshore, coastal, and offshore environments
 </li>
 <li>
 Practical experience in the following sectors is desirable: oil and gas, petrochemicals, renewable energy, and conventional power
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &ndash; Qualifications, Accreditation, Training:
 
 
 
 <ul>
 <li>
 BSC or Science Degree required. Master of Science desirable.
 
 
 </li>
 </ul>
 
 HSE Capability
 
 
 
 <ul>
 <li>
 Adherence to HSE Policy and Procedure.
 
 
 </li>
 </ul>
 
 IT Skills
 
 
 
 <ul>
 <li>
 MS Office. Understanding of GIS and numerical environmental modelling interpretation.
 
 
 </li>
 </ul>
 
 Other
 
 
 
 <ul>
 <li>
 Availability to travel periodically including field work as a Biodiversity Consultant
 
 
 </li>
 </ul>
 
 Moving forward together
 
 
 
 We&rsquo;re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.
 
 
 We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
 
 
 And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.
 
 
 Whatever your ambition, there&rsquo;s a path for you here. And there&rsquo;s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.
 
 
 
 Company
 
 
 
 Worley
 
 
 
 Primary Location
 
 
 
 EGY-Cairo
 
 
 
 Job
 
 
 
 Environmental
 
 
 
 Schedule
 
 
 
 Full-time
 
 
 
 Employment Type
 
 
 
 Employee
 
 
 
 Management Level
 
 
 
 Individual Contributor
 
 
 
 Job Posting
 
 
 
 Sep 18, 2025
 
 
 
 Unposting Date
 
 
 
 Oct 18, 2025
 
 
 
 Reporting Manager Title
 
 
 
 Senior Associate Technical Consultant, Environmental Scientist
</div>

Biodiversity Consultant

<div>
 
 Building on our past. Ready for the future
 
 
 
 Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We&rsquo;re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Assist in the preparation of environmental impact assessment (EIA, ESIA), construction and operation environmental management plans, environmental monitoring and auditing plans and various environmental reports.
 </li>
 <li>
 Undertake Best Available Techniques (BAT) assessments for different industries.
 </li>
 <li>
 Assist in planning, organizing and undertaking monitoring of environmental baseline conditions (noise, air, water, land).
 </li>
 <li>
 Assist in preparing proposals, reports and client correspondence.
 </li>
 <li>
 Participate in business development activities.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in environmental science or engineering from an accredited institution.
 </li>
 <li>
 Experience in technical reporting and presentations.
 </li>
 <li>
 Familiar with applicable environmental laws and regulations and dealings with local regulatory authorities.
 </li>
 <li>
 Ability to work independently or with a team to accomplish complex tasks.
 </li>
 <li>
 Application of safe working practices and quality assurance in all activities.
 </li>
 <li>
 ISO 14001 Lead Auditor Certification is an advantage.
 </li>
 <li>
 Willingness to travel and spend periods of time in the field.
 
 
 </li>
 </ul>
 
 Moving forward together
 
 
 
 We&rsquo;re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.
 
 
 We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
 
 
 And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.
 
 
 Whatever your ambition, there&rsquo;s a path for you here. And there&rsquo;s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.
 
 
 
 Company
 
 
 
 Worley
 
 
 
 Primary Location
 
 
 
 EGY-CAI-Cairo
 
 
 
 Job
 
 
 
 Environmental
 
 
 
 Schedule
 
 
 
 Full-time
 
 
 
 Employment Type
 
 
 
 Employee
 
 
 
 Management Level
 
 
 
 Individual Contributor
 
 
 
 Job Posting
 
 
 
 Sep 21, 2025
 
 
 
 Unposting Date
 
 
 
 Oct 21, 2025
 
 
 
 Reporting Manager Title
 
 
 
 Senior Associate Technical Consultant, Environmental Scientist
</div>

Graduate Environmental Consultant

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