senior software engineer

data analyst

senior devops engineer

data scientist

senior data analyst

senior 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

Seoudi Supermarket

<div>
 We are seeking a highly skilled
 <strong>
  Senior Data Scientist to
 </strong>
 extract valuable insights from complex datasets and drive data-informed decision-making across the organization. The role involves managing the entire data lifecycle from data cleaning and preprocessing, exploratory analysis, statistical modeling, and predictive analytics to building dashboards and scalable data pipelines.
 <br/>
 <br/>
 The ideal candidate will leverage advanced statistical techniques, machine learning algorithms, and forecasting models to solve business problems and uncover actionable insights. They will work closely with cross-functional teams, transforming raw data into meaningful visualizations and recommendations for both technical and non-technical stakeholders. Strong coding practices, SQL proficiency, and experience with business intelligence tools are essential to ensure high-quality, efficient, and reproducible analytics workflows.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ]Data Cleaning and Preprocessing: Perform thorough data cleaning, validation, and preprocessing to ensure the accuracy and reliability of the data used in analysis. Identify and handle missing data, outliers, and inconsistencies, maintaining data integrity throughout the pipeline.
  </li>
  <li>
   ]Exploratory Data Analysis (EDA): Conduct comprehensive EDA to uncover patterns, trends, and correlations within the data. Apply statistical techniques and data visualization to communicate findings effectively.
  </li>
  <li>
   ]Advanced Statistical Analysis: Perform advanced statistical analysis, including statistical testing and measuring statistical feature associations. Apply a wide range of statistical techniques to identify significant relationships, assess the impact of variables, and measure the strength of associations.
  </li>
  <li>
   ]Modeling and Algorithm Development: Design and implement machine learning algorithms and statistical models to solve business problems and extract valuable insights from complex datasets. Collaborate with cross-functional teams to develop predictive models, optimize algorithms, and improve existing methodologies.
  </li>
  <li>
   ]Building Forecasting Models: Utilize machine learning and deep learning techniques to develop accurate and reliable forecasting models. Apply time series analysis, regression, and other forecasting methodologies to predict future trends, demand, and outcomes.
  </li>
  <li>
   ]Data Engineering: Develop and maintain scalable data pipelines, integrating and transforming data from various sources. Utilize data engineering techniques to streamline data acquisition, storage, and processing, ensuring efficient data flow across the organization.
  </li>
  <li>
   ]Writing Optimized SQL Queries: Write efficient and optimized SQL queries for data analysis and retrieval. Utilize advanced SQL techniques to extract and manipulate data from relational databases, ensuring optimal performance and scalability.
  </li>
  <li>
   ]Building Custom Live/Near Live Dashboards: Design and develop custom live/near live dashboards with complex functionality that integrate various data sources. Utilize business intelligence tools such as Tableau or Power BI to create interactive and visually appealing dashboards that enable real-time monitoring and analysis of key performance indicators.
  </li>
  <li>
   ]Writing High-Quality and Organized Code: Ensure that code written for data cleaning, analysis, modeling, and engineering is of high quality, well-documented, and follows best practices. Write clean, efficient, and modular code that is easy to understand and maintain.
  </li>
  <li>
   ]Communication and Visualization: Clearly communicate complex findings, methodologies, and insights to both technical and non-technical stakeholders. Visualize data and present results through compelling visualizations, dashboards, and reports.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ]Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field.
  </li>
  <li>
   ]Strong programming skills in Python and R. Proficiency in SQL is required.
  </li>
  <li>
   ]Minimum of 3 years of experience in data science or a related field.
  </li>
  <li>
   ]Solid understanding of statistical analysis, machine learning, and data mining techniques.
  </li>
  <li>
   ]Experience with data cleaning, preprocessing, and exploratory data analysis.
  </li>
  <li>
   ]Proficiency in utilizing data science libraries and frameworks (e.g., Pandas, NumPy, scikit-learn, TensorFlow, Py Torch).
  </li>
  <li>
   ]Experience building forecasting models using machine learning and deep learning techniques.
  </li>
  <li>
   ]Ability to perform advanced statistical analysis, including statistical testing and measuring statistical feature associations.
  </li>
  <li>
   ]Proficiency in business intelligence tools such as Tableau or Power BI, with the ability to build custom live/near live dashboards with complex functionality.
  </li>
  <li>
   ]Ability to write optimized SQL queries for data analysis and data retrieval.
  </li>
 </ul>
</div>


NielsenIQ

<div><b>Company Description</b><p><br>
As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.</p><b><br>
Job Description</b><p><b><i><br>
What You&rsquo;ll Do</i></b></p><ul><li>
Own Data Science for a specific-market/industry on new and already established products, services and design.</li><li>
Be a Data Science business partner for managing directors, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.</li><li>
Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.</li><li>
Support Client and Commercial teams with Data Science design and methodological questions.</li><li>
Play a leading role in the application of data and analytics strategies in support of clients&rsquo; business needs.</li><li>
Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.</li><li>
Collaborate and align with other Data Science team units to deliver and prioritize objectives.</li><li>
Enable Data Science technology solutions on the ground and ensure solutions meets client needs.</li><li>
Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions.</li></ul><p><b><i>
Experience</i></b></p><ul><li>
Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.</li><li>
3-5+ years of experience in market research or relevant field</li><li>
Solid understanding of CPG/FMCG Industry and Retail market impact on client&rsquo;s business within the market.</li></ul><br>
<b>
Qualifications</b><p><b><i><br>
Qualifications</i></b></p><ul><li>
Passionate about innovation and technology</li><li>
Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.</li><li>
 Innovative mindset, creativity, thinking out-of-the-box.</li><li>
Good ability to effectively convey complex concepts to non-experts.</li><li>
Strong Problem-Solving skills</li><li>
Intellectual curiosity and persistence to find answers to questions.</li><li>
Great collaborative and interpersonal skills to communicate at all levels.</li><li>
Ability to set priorities.</li><li>
Good leadership skills.</li><li>
Business acumen, consultative skills and empathy for clients.</li><li>
Great command of written and spoken English</li><li>
Eager to continuously learn and adapt to changing technologies and tools.</li><li>
Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.</li></ul><br>
<b>
Additional Information</b><div></div><p><b><br>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul><p>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p><br>
<p></p>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></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)

mylo

<div>
 mylo, the consumer finance arm of B.TECH, is revolutionizing the financial landscape, seeks a dynamic, results-oriented Senior Data Scientist. The ideal candidate will play a pivotal role in driving data-driven decisions and shaping our future. You'll work closely with cross-functional teams to unlock the power of data, build predictive models, and deliver actionable insights.
 <br/>
 <br/>
 We are looking for an exceptionally talented Senior Reconciliation &amp; Settlement Specialist to enhance reconciliation and settlement procedures across a wide range of financial partners, such as banks, payment processors, and internal accounts. This position demands extensive knowledge of financial operations, controls, and risk management to guarantee the precision, integrity, and efficiency of all financial transactions.
 <br/>
 <br/>
 <ul>
  <li>
   Oversee and execute end-to-end reconciliation of transactions across payment gateways, digital wallets, and banking partners
  </li>
  <li>
   Review and validate daily settlements using payment scheme files and internal records
  </li>
  <li>
   Ensure compliance with settlement regulations and support internal and external audits
  </li>
  <li>
   Develop and maintain comprehensive financial reports to enhance visibility and support decision-making
  </li>
  <li>
   Monitor account balances and fund allocations to ensure smooth payment operations and minimize delays and costs
  </li>
  <li>
   Identify, investigate, and resolve complex discrepancies to maintain financial data integrity
  </li>
  <li>
   Collaborate closely with Finance, Treasury, and Customer Support teams to resolve payment-related issues and escalations
  </li>
  <li>
   Coordinate with the Chargeback team to efficiently manage dispute cases
  </li>
  <li>
   Establish and enhance risk controls to detect and prevent discrepancies or fraud
  </li>
  <li>
   Design and implement frameworks to improve reconciliation and settlement accuracy and efficiency for merchants and financial partners
  </li>
  <li>
   Liaise with banks to resolve outstanding issues and respond to inquiries
  </li>
  <li>
   Communicate with application support teams to report issues and suggest process enhancements
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Business Administration, Finance, or a related field
  </li>
  <li>
   Minimum 5 years' experience in reconciliation, settlement, or financial operations within fintech, banking, or digital payments
  </li>
  <li>
   Strong understanding of banking operations, payment schemes, and settlement processes
  </li>
  <li>
   Proven expertise in payment processing, digital wallets, and financial reconciliations
  </li>
  <li>
   Proficient in Excel, SQL, or data analytics tools for managing large financial datasets
  </li>
  <li>
   Experience with ERP systems, reconciliation automation tools, and financial risk management
  </li>
  <li>
   Demonstrated ability to enhance financial controls and implement best practices
  </li>
  <li>
   Excellent communication and problem-solving skills; able to work effectively in cross-functional teams
  </li>
  <li>
   Ability to thrive in a fast-paced, dynamic environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
 <br/>
 <br/>
 Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
 <br/>
 <br/>
 Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community
 <br/>
 <br/>
 Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
 <br/>
 <br/>
 Equipment: From "Day 1" you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.
</div>


Senior Reconciliation & Settlement Analyst

MYLO

<div><p>mylo, the consumer finance arm of B.TECH, is revolutionizing the financial landscape, seeks a dynamic, results-oriented Senior Data Scientist. The ideal candidate will play a pivotal role in driving data-driven decisions and shaping our future. You'll work closely with cross-functional teams to unlock the power of data, build predictive models, and deliver actionable insights.</p><p></p><p>
We are looking for an exceptionally talented Senior Reconciliation &amp; Settlement Specialist to enhance reconciliation and settlement procedures across a wide range of financial partners, such as banks, payment processors, and internal accounts. This position demands extensive knowledge of financial operations, controls, and risk management to guarantee the precision, integrity, and efficiency of all financial transactions.</p><p></p><ul>
<li>Oversee and execute end-to-end reconciliation of transactions across payment gateways, digital wallets, and banking partners.</li>
<li>Review and validate daily settlements using payment scheme files and internal records.</li>
<li>Ensure compliance with settlement regulations and support internal and external audits.</li>
<li>Develop and maintain comprehensive financial reports to enhance visibility and support decision-making.</li>
<li>Monitor account balances and fund allocations to ensure smooth payment operations and minimize delays and costs.</li>
<li>Identify, investigate, and resolve complex discrepancies to maintain financial data integrity.</li>
<li>Collaborate closely with Finance, Treasury, and Customer Support teams to resolve payment-related issues and escalations.</li>
<li>Coordinate with the Chargeback team to efficiently manage dispute cases.</li>
<li>Establish and enhance risk controls to detect and prevent discrepancies or fraud.</li>
<li>Design and implement frameworks to improve reconciliation and settlement accuracy and efficiency for merchants and financial partners.</li>
<li>Liaise with banks to resolve outstanding issues and respond to inquiries.</li>
<li>Communicate with application support teams to report issues and suggest process enhancements.</li>
</ul><p><b>Requirements</b></p><ul>
<li>Bachelor&rsquo;s degree in Business Administration, Finance, or a related field.</li>
<li>Minimum 5 years&rsquo; experience in reconciliation, settlement, or financial operations within fintech, banking, or digital payments.</li>
<li>Strong understanding of banking operations, payment schemes, and settlement processes.</li>
<li>Proven expertise in payment processing, digital wallets, and financial reconciliations.</li>
<li>Proficient in Excel, SQL, or data analytics tools for managing large financial datasets.</li>
<li>Experience with ERP systems, reconciliation automation tools, and financial risk management.</li>
<li>Demonstrated ability to enhance financial controls and implement best practices.</li>
<li>Excellent communication and problem-solving skills; able to work effectively in cross-functional teams.</li>
<li>Ability to thrive in a fast-paced, dynamic environment.</li>
</ul><p><b>Benefits</b></p><p>
Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.</p><p>
Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.</p><p>
Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community</p><p>
Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.</p><p>
Equipment: From &quot;Day 1&quot; you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.</p></div>

Explore 1419+ Senior data scientist in Egypt this February. Find roles across top companies and apply now to boost your career.

1419 senior data scientist jobs In Egypt

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist / Senior Machine Learning Engineer

Data Scientist (on-site)

Senior Reconciliation & Settlement Analyst

Senior Reconciliation & Settlement Analyst