data analyst

data scientist

senior data analyst

senior data scientist

associate product development scientist Jobs in Egypt

associate product development scientist

data scientist i

Finaira

<div><p>The Data Scientist 1 will contribute to the design, development, and deployment of AI and machine learning models to solve specific business problems in the financial sector. Under the guidance of more senior team members, the Data Scientist 1 will participate in data analysis, model building, and communication of findings. This role offers an excellent opportunity to learn and grow within a dynamic team focused on innovative data-driven solutions.</p><p>
The difference you will make</p><ul><li>
Develop and implement individual machine learning models for specific banking applications.</li><li>
Conduct focused data exploration and analysis to support model development.</li><li>
Assist in the deployment and testing of machine learning models.</li><li>
Document model development processes and results.</li><li>
Contribute to data preparation and feature engineering.</li></ul><p><b>
Requirements</b></p><ul><li>
Education: Bachelor&rsquo;s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.</li><li>
Experience:
</li><li>0-3 years of experience in a data-related role, including internships or academic projects involving data analysis and modeling.</li><li>
Exposure to the financial services industry is a plus.</li><li>
Basic familiarity with AI applications in finance is desirable.</li><li>
Technical Skills:
</li><li>Basic proficiency in at least one of the following languages: Python or R.</li><li>
Basic understanding of machine learning frameworks (scikit-learn, introductory exposure to TensorFlow or PyTorch).</li><li>
Foundational understanding of basic statistical concepts and ML algorithms (Linear/Logistic regression, decision trees).</li><li>
Basic mathematical skills relevant to data analysis.</li><li>
Introductory knowledge of GenAI concepts.</li><li>
Basic proficiency in SQL and database querying.</li><li>
Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, basic use of Tableau or Power BI).</li><li>
Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.</li><li>
Basic understanding of working with large data sets.</li></ul><br>
<p></p><ul><li>
Soft Skills:
</li><li>Strong ownership and accountability for assigned work.</li><li>
Excellent communication, interpersonal, and conflict resolution skills.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently and collaborate with teams within and across functions.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul></div>

Data Scientist I

<div>
 The Data Scientist 1 will contribute to the design, development, and deployment of AI and machine learning models to solve specific business problems in the financial sector. Under the guidance of more senior team members, the Data Scientist 1 will participate in data analysis, model building, and communication of findings. This role offers an excellent opportunity to learn and grow within a dynamic team focused on innovative data-driven solutions.
 <br/>
 <br/>
 The difference you will make
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement individual machine learning models for specific banking applications.
  </li>
  <li>
   Conduct focused data exploration and analysis to support model development.
  </li>
  <li>
   Assist in the deployment and testing of machine learning models.
  </li>
  <li>
   Document model development processes and results.
  </li>
  <li>
   Contribute to data preparation and feature engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education: Bachelor's degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
  </li>
  <li>
   Experience:
  </li>
  <li>
   0-3 years of experience in a data-related role, including internships or academic projects involving data analysis and modeling.
  </li>
  <li>
   Exposure to the financial services industry is a plus.
  </li>
  <li>
   Basic familiarity with AI applications in finance is desirable.
  </li>
  <li>
   Technical Skills:
  </li>
  <li>
   Basic proficiency in at least one of the following languages: Python or R.
  </li>
  <li>
   Basic understanding of machine learning frameworks (scikit-learn, introductory exposure to TensorFlow or PyTorch).
  </li>
  <li>
   Foundational understanding of basic statistical concepts and ML algorithms (Linear/Logistic regression, decision trees).
  </li>
  <li>
   Basic mathematical skills relevant to data analysis.
  </li>
  <li>
   Introductory knowledge of GenAI concepts.
  </li>
  <li>
   Basic proficiency in SQL and database querying.
  </li>
  <li>
   Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, basic use of Tableau or Power BI).
  </li>
  <li>
   Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
  </li>
  <li>
   Basic understanding of working with large data sets.
  </li>
  <li>
   Soft Skills:
  </li>
  <li>
   Strong ownership and accountability for assigned work.
  </li>
  <li>
   Excellent communication, interpersonal, and conflict resolution skills.
  </li>
  <li>
   Effective time management and task prioritization.
  </li>
  <li>
   Analytical thinking and problem-solving skills.
  </li>
  <li>
   Ability to work independently and collaborate with teams within and across functions.
  </li>
  <li>
   Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
  </li>
  <li>
   Adaptability and learning agility in a fast-paced environment.
  </li>
  <li>
   Strong attention to detail and a commitment to quality.
  </li>
  <li>
   Receptiveness to feedback and continuous improvement mindset.
  </li>
 </ul>
</div>


Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
  </li>
  <li>
   Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
  </li>
  <li>
   Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
  </li>
  <li>
   Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
  </li>
  <li>
   Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
  </li>
  <li>
   Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
  </li>
  <li>
   Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  </li>
  <li>
   Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  </li>
  <li>
   Strong knowledge of machine learning frameworks and libraries.
  </li>
  <li>
   Expertise in data preprocessing, feature engineering, and model selection.
  </li>
  <li>
   Familiarity with large language models and AI agent design.
  </li>
  <li>
   Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  </li>
  <li>
   Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience with vectorized databases and unstructured search engines is a plus.
  </li>
  <li>
   A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
  </li>
  <li>
   Publications or contributions to open-source projects are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.<br>
Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil &amp; gas experience is a strong asset but not mandatory; the ideal candidate brings analytical rigor and problem-solving expertise to solve complex field challenges.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Analyze diverse operational datasets (time series, tabular, sensor logs, etc.) to extract insights and guide model development.
</p></div><div><p>Build and evaluate ML models for forecasting, anomaly detection, pattern recognition, and classification.
</p></div><div><p>Work with engineers to define KPIs and convert domain-specific questions into quantifiable modeling tasks.
</p></div><div><p>Design meaningful visualizations and dashboards to communicate model outputs clearly.
</p></div><div><p>Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong statistical background and data science expertise with real-world datasets.
</p></div><div><p>Proficient in Python (NumPy, pandas, scikit-learn, XGBoost, etc.); SQL fluency and data wrangling skills.
</p></div><div><p>Experience working with large, messy, or multivariate time series data.
</p></div><div><p>Ability to communicate complex model behavior to engineers and stakeholders.
</p></div><div><p>Comfortable working in cross-functional teams with domain and technical experts.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Oilfield data exposure (e.g., well data, reservoir simulations, production logs) or interest in industrial applications.
</p></div><div><p>Familiarity with DOF systems or production optimization frameworks.
</p></div><div><p>Exposure to LLMs, NLP techniques, or agent-based AI for enhancing technical workflows.
</p></div><div><p>Cloud familiarity (Azure preferred); knowledge of ML platforms (e.g., Azure ML, Databricks).
</p></div><div><p>Certifications:
</p></div><div><p>Azure Data Scientist Associate or Microsoft AI Fundamentals certification is a plus.
</p></div><div><p>AWS cloud knowledge is welcome but not required.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118736
</p></div><div></div><div><div><p>Data Science
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>05/02/2026
</p></div><div><p>Req. VR-118736</p></div></div></div><p></p>

Data Scientist (on-site)

PepsiCo

<div>Overview:
<div>
PepsiCo is a leading food enterprise sourcing a diverse range of plant raw materials, including potatoes, small grains, corn, and various fruit and vegetable crops. We are seeking an experienced variety and agronomic assessment scientist to lead our potato variety development efforts. This role is responsible for recommending optimal agronomic and agritech solutions to ensure high-performing, quality potatoes for supply chain continuity. By driving internal research and fostering external partnerships, the scientist will deliver actionable insights on the best varieties to support PepsiCo&rsquo;s sustainable agriculture goals and address key business challenges such as productivity, raw material quality, food safety, and supply chain resilience. The position operates within the Ag Science Division of Research and Development, collaborating with multidisciplinary teams in genetics, breeding, systems biology, agronomy, and sustainability. The scientist will also work closely with breeders and business leaders across commercial, supply chain, procurement, processing, R&amp;D quality, and consumer insights to align variety advancement with business priorities, support robust data-driven decisions, and provide growers with tailored agronomic guidance.</div>
Responsibilities:
<ul><li>Developing, coordinating, and delivering the Middle East variety testing plans to develop and select varieties that meet the business defined product profiles Creating a phenotyping and yield trial program that supports commercial decisions, delivers data to the global breeder center, and facilitates go to market value propositions, delivering on sustainability and consumer targets.
</li><li>Developing collaborative relationships with internal partners including the breeding team, trait discovery team, and variety specific agronomy crop technology team. Supporting the development of product profiles with input from the processing, quality, sensory, business, supply chain, and procurement teams.
</li><li>Be center point for variety qualification approval committee in Middle East driving final alignment on varieties that advance to becoming part of the portfolio of options for growers to produce for PepsiCo.
</li><li>Develop and maintain external breeding partnerships to identify, test and validate the progression of new varieties through commercial approval in Middle East.
</li><li>Collaborate with R&amp;D Ag Science sector trialing teams understand region specific variety performance to maintain current data on local varieties into the global Pepsico Variety Catalog.
</li><li>Achieving successful outcomes and timelines, while consistently following guidelines, rules, standards, and compliance. Monitoring, tracking, and maintaining desired outcomes and objectives preparing for future challenges.
</li><li>Engage staff in their personal development and fulfillment of goals, ensuring each has the skills needed for success in their roles and continued growth, while continuously evaluating their fit in their position, their desire and training to accomplish tasks safely, and the resources required to help them achieve their goals</li></ul>
Qualifications:
<ul><li>A PhD (with &gt;5 years experience or MSc +10y experience in an ag seed or chemical company) with plot trial experience preferably in potato, crop trait valuation, strategic needs assessment, trait/variety portfolio management, commercial agronomy and/or technology development of new variety solutions
</li><li>Previous experience executing/managing trials working to support development and implementation of performance and quality testing programs to capture environmental data, phenotype data and define experimental designs that support robust decisions, strengthen go to market messaging and inform breeding models.
</li><li>Experience in leadership and understanding of strategy, brand management, sales and market analysis.
</li><li>Have specialized knowledge of variety testing, statistical experimental design, field plot technique, statistical data analysis and interpretation, plus reporting is required.
</li><li>Possess excellent communication skills, verbal and written; ability to productively interact with people at all levels across the organization.
</li><li>Ability to travel at least 20% of the time domestically and internationally.</li><li>Fluency in English</li></ul></div>

Middle East Variety Trialing and Development Lead

INDOS (Garment IO)

<div>
 <strong>
  We are hiring a Data Scientist who will focus on delivering high-impact product initiatives while strengthening our core platform .This role offers hands-on exposure to real production challenges and the opportunity to directly impact long-term growth, reliability, and innovation.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <p>
    Design and implement optimization and ML models to solve business problems
    <br/>
   </p>
  </li>
  <li>
   <p>
    Train, evaluate, and continuously improve models using production feedback
    <br/>
   </p>
  </li>
  <li>
   <p>
    Deploy models as scalable services or pipelines
    <br/>
   </p>
  </li>
  <li>
   <p>
    Collaborate with backend teams to integrate models into core systems
    <br/>
   </p>
  </li>
  <li>
   <p>
    Ensure solutions are robust, explainable, and maintainable
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Define and monitor model performance and business impact metrics
    <br/>
   </p>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Requirements
 <br/>
 <br/>
 <ul>
  <li>
   <p>
    3+ years of hands-on experience in data science, applied machine learning, or optimization
    <br/>
   </p>
  </li>
  <li>
   <p>
    Strong background in mathematical modeling, optimization, or operations research
    <br/>
   </p>
  </li>
  <li>
   <p>
    Experience with linear, integer, and mixed-integer programming
    <br/>
   </p>
  </li>
  <li>
   <p>
    Knowledge of constraint-based optimization and heuristics/meta heuristics
    <br/>
   </p>
  </li>
  <li>
   <p>
    Proven experience training, validating, and tuning models
    <br/>
   </p>
  </li>
  <li>
   <p>
    Proficient in Python for data science and modeling
    <br/>
   </p>
  </li>
  <li>
   <p>
    Hands-on experience with libraries such as NumPy, Pandas, SciPy, and OR tools (Pyomo, OR-Tools, PuLP, Gurobi, CPLEX)
    <br/>
   </p>
  </li>
  <li>
   <p>
    Familiarity with ML frameworks (scikit-learn, PyTorch, TensorFlow)
    <br/>
   </p>
  </li>
  <li>
   <p>
    Ability to translate business problems into mathematical or statistical models
    <br/>
   </p>
  </li>
  <li>
   <p>
    Experience deploying models to production (APIs, batch jobs, pipelines)
    <br/>
   </p>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Benefits
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   <p>
    Social insurance
    <br/>
   </p>
  </li>
  <li>
   <p>
    Medical insurance
    <br/>
   </p>
  </li>
  <li>
   <p>
    Transportation allowance
    <br/>
   </p>
  </li>
  <li>
   <p>
    Hybrid Work Environment
    <br/>
   </p>
  </li>
 </ul>
</div>


Data Scientist

Integrant

<div><p>We Are Hiring!</p><p>
Integrant is seeking talented individuals to join our team as a &quot;Senior Data Scientist.&quot; As a senior member of our Data Science team, you will contribute to the development and deployment of advanced data models and algorithms to solve complex business problems. You will work closely with clients to understand their requirements and deliver data-driven insights to drive strategic decision-making.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Apply statistical and machine learning techniques to analyze structured and unstructured data.</li>
<li>Develop and implement predictive models, recommendation systems, and other data products.</li>
<li>Work on the exploration and implementation of generative AI techniques to develop innovative applications that enhance business processes and customer experiences.</li>
<li>Collaborate with cross-functional teams to identify opportunities and provide data-driven solutions.</li>
<li>Present insights and findings to clients in a clear and actionable manner.</li>
<li>Mentor and guide junior team members in data science methodologies and best practices.</li>
<li>Stay updated with the latest advancements in data science and machine learning fields.</li>
</ul><p><b>Requirements</b></p><ul><li><ul>
<li>5+ years of experience in data science or related field.</li>
<li>Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.</li>
<li>Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li>
<li>Proficient in applying machine learning techniques and algorithms (e.g., decision trees, random forests, SVMs, KNNs).</li>
<li>Deep understanding of basic and advanced neural network architectures.</li>
<li>Hands on experience with deep learning frameworks (e.g., pytorch, tensorflow, keras).</li>
<li>Experience with data visualization and storytelling tools (e.g., Tableau, Power BI).</li>
<li>Knowledge of SQL and database systems to extract and manipulate data.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and presentation skills.</li>
<li>Ability to work independently and collaboratively in a fast-paced environment.</li>
<li>Experience with cloud technologies (e.g., Azure, AWS) is a plus.</li>
⁠<li>Knowledge of data platforms such as Databricks, Snowflake, or similar is a plus.</li>
</ul></li></ul><p><b>Benefits</b></p><ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>In-house Technical and English training programs</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Senior Data Scientist

Explore 1251+ Data scientist i in Egypt this February. Find roles across top companies and apply now to boost your career.

1251 data scientist i jobs In Egypt

Data Scientist I

Data Scientist I

Data Scientist / Senior Machine Learning Engineer

Data Scientist (on-site)

Middle East Variety Trialing and Development Lead

Data Scientist

Senior Data Scientist