product specialist

data scientist

data analyst

product analyst

production engineer

applied scientist

Ampstek

<div>
 
 Hi Professionals,
 
 
 
 
 
 Greetings From Ampstek!!
 
 
 
 
 
 Hope you are high in your spirits. Please stay safe.
 
 
 
 
 
 Our client is looking for
 
 Applied Scientist
 
 to join a high-growth organization. If you are interested share you resume
 
 sudhakaran.m@ampstek.com
 
 
 
 
 
 
 
 Role: Applied Scientist
 
 
 
 
 Location: Cairo, Egypt(Onsite 5days/Week)
 
 
 
 
 Duration: Contract
 
 
 
 
 
 
 
 Job Description :
 
 
 
 
 
 
 Required skills:
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Thanks &amp; Regards,
 
 
 
 
 Sudhakaran
 
 
 
 
 IT Recruiter | Europe &amp; UK
 
 
 
 
 Email - sudhakaran.m@ampstek.com
 
 
 
 
 Tel - +44(20)45150009
 
 
 
 
 Ampstek Services Limited
 
 
</div>

Applied Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Our team uses the latest in Generative AI technologies to build models, solutions, and experiences to power search innovations in Microsoft Bing and Microsoft Copilot. We are looking for candidates eager to work on cutting-edge large-scale AI services to power the next-gen AI powered search. In particular, we are seeking candidates who are passionate about Deep Learning and latest AI technologies to light up related scenarios.
 
 
 The successful candidate will participate in collaborations with relevant product and business groups inside or outside of Microsoft and will provide expertise or technology to create business impact by bridging the gap between research (in Microsoft AI [MAI], other Microsoft divisions, or in the community) and the relevant product teams.
 
 
 The ideal candidate will work with limited guidance, to create product impact through deep knowledge of AI and ML and will continuously seek to acquire knowledge of industry trends and advances in applied AI/ML technologies. We are looking for Applied Scientists who can research and develop an understanding of relevant tools, technologies, and methods that can be utilized to improve product quality, performance, or efficiency, while reinforcing a positive &amp; inclusive environment by applying best practices, and producing high quality documentation of the work in progress, as well as experimentation results, and plans, along the way. An Applied Scientist should understand and follow ethics and privacy policies when executing research processes and/or collecting data/information.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a senior team member. Seeks guidance from senior team members when confronted with problems/challenges.
 </li>
 <li>
 Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a senior team member.
 </li>
 <li>
 Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of senior team members.
 </li>
 <li>
 Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a senior team member. Addresses models when that break, under the direction of others.
 </li>
 <li>
 Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions.
 </li>
 <li>
 Solid problem solving and debugging skills.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

<div>
 
 
 Role: ML Engineer
 
 
 
 
 Location: Cairo
 
 
 
 
 Project Site: Onsite
 
 
 
 
 Project type: Contract (6 months with extension)
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a strong applied scientist to develop, evaluate, and productionise machine learning models to improve the trust, safety, and intelligence of MSN. You will be using the latest machine learning techniques, such as deep neural networks and large language models, to develop classifiers using large amounts of news data.
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 :
 
 <ul>
 <li>
 Experience with production machine learning model deployment and debugging
 </li>
 <li>
 Experience with large language models
 </li>
 <li>
 Experience with image/video processing, vision models, or visual content understanding
 </li>
 </ul>
</div>

Data Scientist

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

Finaira

<div>
 The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector. This role requires deep expertise in data science methodologies, advanced proficiency in relevant tools and technologies, and the ability to independently translate complex business needs into scalable and impactful analytical solutions. The Senior Data Scientist will mentor junior team members, contribute to technical strategy, and communicate findings to executive stakeholders.
 
 
 Focus: Project leadership, strategic analysis, and advanced model development.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Lead end-to-end data science projects from conception to deployment
 </li>
 <li>
 Develop and implement advanced machine learning models and algorithms in banking applications
 </li>
 <li>
 Conduct strategic data analysis to inform business decisions and identify new opportunities
 </li>
 <li>
 Communicate complex technical findings to senior management and stakeholders
 </li>
 <li>
 Drive innovation in data science methodologies and tools
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <li>
 Education: Bachelor's degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master's or Ph.D. preferred
 </li>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact
 </li>
 <li>
 Extensive experience in the financial services industry, with a deep understanding of financial data and business processes
 </li>
 <li>
 Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results
 </li>
 <li>
 Technical skills:
 </li>
 <li>
 Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks
 </li>
 <li>
 Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries)
 </li>
 <li>
 Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques
 </li>
 <li>
 Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
 </li>
 <li>
 Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts
 </li>
 <li>
 Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases)
 </li>
 <li>
 Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards
 </li>
 <li>
 Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies
 </li>
 <li>
 Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
 </li>
 <li>
 Strong strategic thinking and a disruptive mindset to develop innovative data solutions
 </li>
 <li>
 Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives
 </li>
 <li>
 Strong customer-centric approach with a focus on delivering tangible business value
 </li>
 <li>
 Demonstrated leadership qualities and the ability to mentor junior team members effectively
 </li>
 <li>
 Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments
 </li>
 <li>
 Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds
 </li>
 <li>
 Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively
 </li>
 <li>
 Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Senior Data Scientist

<div>The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector. This role requires deep expertise in data science methodologies, advanced proficiency in relevant tools and technologies, and the ability to independently translate complex business needs into scalable and impactful analytical solutions. The Senior Data Scientist will mentor junior team members, contribute to technical strategy, and communicate findings to executive stakeholders.
Focus: Project leadership, strategic analysis, and advanced model development.
The difference you will make:<ul>
<li>
Lead end-to-end data science projects from conception to deployment.</li>
<li>Develop and implement advanced machine learning models and algorithms in banking applications.</li>
<li>Conduct strategic data analysis to inform business decisions and identify new opportunities.</li>
<li>Communicate complex technical findings to senior management and stakeholders.</li>
<li>Drive innovation in data science methodologies and tools.</li>
</ul>
Requirements<ul><li>

Education: Bachelor&rsquo;s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master&rsquo;s or Ph.D. preferred.</li></ul><ul>
<li>Experience:</li>
<li><ul><li>5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact.</li>
<li>Extensive experience in the financial services industry, with a deep understanding of financial data and business processes.</li>
<li>Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results.</li>
</ul></li><li>Technical skills:</li></ul><ul>
<li>Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks.</li>
<li>Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries).</li>
<li>Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques.</li>
<li>Familiarity with generative AI tools (e.g., Hugging Face, LangChain)</li>
<li>Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts.</li>
<li>Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases).</li>
<li>Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards.</li>
<li>Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.</li>
<li>Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies.</li>
<li>Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions.</li>
</ul>
Soft Skills:<ul>
<li>
Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently.</li>
<li>Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
</li><li>Strong strategic thinking and a disruptive mindset to develop innovative data solutions.</li>
<li>Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives.</li>
<li>Strong customer-centric approach with a focus on delivering tangible business value.</li>
<li>Demonstrated leadership qualities and the ability to mentor junior team members effectively.</li>
<li>Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments.</li>
<li>Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds.</li>
<li>Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively.</li>
<li>Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies.</li>
</ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Explore 64+ Applied scientist in Egypt this January. Find roles across top companies and apply now to boost your career.

64 applied scientist jobs IN Egypt

Applied Scientist

Applied Scientist

Data Scientist

Data Scientist

AI Developer

Senior Data Scientist

Senior Data Scientist