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associate data scientist

Bosta

<div>
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience together to provide a one-stop shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 Job code: New 2026TECH-721
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Build AI-powered systems using NLP, LLMs, and agentic workflows
 </li>
 <li>
 Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis
 </li>
 <li>
 Design and implement agentic AI systems that reason over conversations, historical data, and business rules
 </li>
 <li>
 Apply traditional machine learning techniques for prediction, classification, and optimization
 </li>
 <li>
 Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making
 </li>
 <li>
 Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions
 </li>
 <li>
 Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring
 </li>
 <li>
 Deploy models and AI services to production using cloud platforms and modern MLOps practices
 
 
 
 </li>
 </ul>
 
 Job Qualifications:
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in Data Science, Machine Learning, or applied AI roles
 </li>
 <li>
 Strong foundation in data science and statistics
 </li>
 <li>
 Solid experience with traditional machine learning (e.g., regression, tree-based models, clustering, time series)
 </li>
 <li>
 Strong Python skills and familiarity with common ML/NLP libraries (scikit-learn, spaCy, NLTK, Hugging Face, etc.)
 </li>
 <li>
 Understanding of software engineering fundamentals (APIs, version control, testing)
 </li>
 <li>
 Hands-on knowledge of NLP:Text preprocessing and feature extractionClassical NLP models and modern embeddingsExperience with tasks like classification, NER, topic modeling, or text similarityExperience working with LLMs for NLP tasks (prompting, fine-tuning or adaptation, chaining, tool usage)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 ITI Data Science track graduate (or equivalent technical training or post-graduate studies)
 </li>
 <li>
 Knowledge of Operations Research (optimization, routing, scheduling, simulations)
 </li>
 <li>
 Experience with cloud computing (AWS, GCP, or Azure)
 </li>
 <li>
 Familiarity with model deployment and MLOps practices (Docker, CI/CD, monitoring)
 </li>
 <li>
 Experience building agentic AI or multi-step NLP systems
 </li>
 <li>
 Exposure to Arabic and multilingual NLP is a plus
 </li>
 <li>
 Experience with vector databases, retrieval systems, or RAG pipelines
 </li>
 <li>
 Familiarity with conversational AI or chat-based systems
 </li>
 <li>
 Background in logistics, marketplaces, or large-scale operations
 
 
 
 </li>
 </ul>
 
 Why Join the Data Science Team at Bosta?
 
 
 
 <ul>
 <li>
 Build high-impact AI, ML and Decision Support systems used daily by operations and commercial teams
 </li>
 <li>
 Work on real production use cases, not just experiments
 </li>
 <li>
 Grow your skills in AI and Data Science
 </li>
 <li>
 Ownership, autonomy, and collaboration in a fast-growing tech environment
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Associate Data Scientist

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Scientist

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Data Warehouse, Quality Assurance, Project Manager, Business Intelligence, Technology
</div>

Data Engineer (m/f/d)

Andela

<div>
 
 
 About Andela
 
 
 
 Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
 
 
 
 
 
 At Andela, we&rsquo;re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We&rsquo;re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you&rsquo;ll have access to many exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace!
 
 
 
 
 
 Our roles are typically filled at lightning speed, so if you&rsquo;re considering applying, get your application in quickly!
 
 
 
 
 
 -- 100% Remote
 
 
 -- Full-time
 
 
 -- Long-term
 
 
 -- Payment in USD
 
 
 
 
 
 
 
 
 
 About
 
 
 
 The Lead Data Scientist is a technical leadership role focused on applying advanced analytics, machine learning (ML), GenAI, and statistical modeling to solve complex business problems. This role typically involves hands-on development of predictive models, algorithms, and deep data insights, as well as leading a team of data scientists from early model development through to production.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses to address business challenges (e.g., predictive analytics, recommendation, hyper-personalization, fraud detection, etc.).
 </li>
 <li>
 Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation.
 </li>
 <li>
 Partner with Product, Engineering, Delivery, and Business to integrate data science solutions into production systems.
 </li>
 <li>
 Identify relevant datasets, perform data mining, and ensure data quality for modeling purposes.
 </li>
 <li>
 Communicate insights and model outcomes to technical and non-technical stakeholders to drive business decisions.
 </li>
 <li>
 Define project roadmaps&mdash;from ideation and experimentation to production deployment and monitoring&mdash;ensuring alignment with business goals.
 </li>
 <li>
 Build robust predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.).
 </li>
 <li>
 Continuously explore, pilot new methods and select proper modeling&mdash;Deep Learning, NLP, GenAI, LLMs, XAI&mdash;and promote best practices.
 </li>
 <li>
 Describe AI models using Explainable AI.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BSc in Computer Science, Information Technology, Computer Engineering, or related field.
 </li>
 <li>
 7+ years of experience leading projects and teams in data science.
 </li>
 <li>
 Experience in delivering similar projects in the banking sector.
 </li>
 <li>
 Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 MUST: Experience deploying models in production environments, not only solution development.
 </li>
 <li>
 Preferred: Master&rsquo;s or Diploma in Data Science, Statistics, Applied Mathematics, or related field.
 </li>
 <li>
 Fluency in Arabic and English.
 </li>
 </ul>
 
 
 
 
 
 Working Hours:
 
 9 AM - 5 PM,
 
 
 6 hours overlap with UTC+2
 
 
 
 Contract details: Long-Term Renewable Contract position with Andela
 
 
 
 
 
 
 
 At Andela,
 
 we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
 
 
 
 
 
 
 Andela is home for all. Come as you are
 
 
</div>

Senior Data Engineer

Mastercard

<div>
 
 Our Purpose
 
 
 
 
 Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
 
 
 
 
 Title And Summary
 
 
 
 Associate Consultant Intern, 2026 &ndash; Cairo, Egypt
 
 
 At Mastercard, our Advisors &amp; Consulting Services (ACS) group helps clients drive impact through data-driven insights, hands-on implementation, and a collaborative, tech-enabled culture. We invest in talent through global engagements, continuous learning, and programs like the Global Ambassadors Program, while fostering purpose through volunteerism, pro-bono work, and innovation that benefits both clients and communities.
 
 
 Make an Impact as an Associate Consultant Intern
 
 
 As an Associate Consultant Intern, you will collaborate within small teams to help some of the world's biggest brands answer and implement solutions for their most challenging strategic questions. You will immediately create meaningful contributions through taking ownership of deliverables and building external relationships with clients. Focusing on technology and data, you will gain broad exposure to a range of industries, including financial services, retail, restaurants, hospitality and more.
 
 
 
 As An Associate Consultant Intern, You Will
 
 
 
 <ul>
 <li>
 Participate in volunteer and team building experiences
 </li>
 <li>
 Gain exposure to our leadership team through networking sessions and speaker series
 </li>
 <li>
 Begin to build relationships with clients to understand their business needs, seek strategic solutions and guide impactful decisions
 </li>
 <li>
 Grow by receiving hands-on mentorship from an experienced management team.
 </li>
 <li>
 Have an opportunity for meaningful contributions
 </li>
 <li>
 Collaborate with colleagues across different areas of the organization and gain exposure to business development, account management, and product management
 
 
 
 </li>
 </ul>
 We are looking for passionate and talented professionals, who share our vision for helping our customers with their most urgent business need. We are recruiting for two career tracks that make up our team. Track placement will indicate the types of projects where you will spend most of your time; however, we encourage and enable working across tracks to allow team members to acquire diverse skills and experiences.
 
 
 Strategy &amp; Transformation
 
 
 Guide clients through strategic, tactical, operational, and transformational challenges to enhance performance and operations. Our engagements cover diverse areas, including product development, marketing, customer loyalty, and innovation. Working with clients from various industries, many S&amp;T engagements directly interface with numerous Fortune 500 companies. This role aligns with the practices of traditional management consulting firms.
 
 
 
 Sampling Of Questions We Help Our Customers Answer
 
 
 
 How can a global financial services institution be successful at entering a hyper competitive new market?
 
 
 How can a customer improve its operating model to better achieve operational, financial and strategic goals?
 
 
 Marketing
 
 
 Develop strategies and lead implementation of marketing campaigns and engagements; evaluate results to drive performance on behalf of Mastercard&rsquo;s clients. Provide deep direct marketing expertise across channels, leveraging customer, behavioral and transactional data and defining tangible results to both the client and Mastercard.
 
 
 
 Sampling Of Questions We Help Our Clients Answer
 
 
 
 How does a fintech client optimize new customer acquisition and existing customers&rsquo; life cycle value through effective targeting and communications?
 
 
 How does a retail client drive foot traffic into store post-covid and/or optimize their ecommerce website to increase basket-size and average spend per customer?
 
 
 How can a large financial institution best execute on a portfolio conversion &ndash; for example, after purchasing another issuer&rsquo;s portfolio &ndash; including components like internal and external communications, market launch, and more?
 
 
 Bring your Passion and Expertise
 
 
 
 We Recruit For And Value The Following Core Competencies
 
 
 
 Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients. Proven record of leadership in a work setting and/or through extracurricular activities.
 
 
 Analytic Excellence: Demonstrates a strong aptitude for structured problem solving, analytical and quantitative skills. Experience using data analysis or querying tools (e.g., SQL, SAS, Excel or Tableau) is an asset (particularly for Performance Analytics or Business Experimentation tracks).
 
 
 Business Interest: Clear interest in the world of business, and intuition for the way that companies make decisions.
 
 
 Rapid Growth: Eagerness to learn quickly, both through Mastercard's structured training curriculum and organic development opportunities.
 
 
 Teamwork: Willingness to work within small teams to produce outstanding deliverables, with a will to win attitude.
 
 
 Integrity: Outstanding record of academic achievement. Commitment to Mastercard's values of honesty and integrity with a willingness to embrace and learn from mistakes.
 
 
 Diverse Perspective: Brings a unique skillset or approach to the table in every client engagement or internal activity.
 
 
 Communication: Ability to communicate complex ideas effectively. Excellent written and verbal communication skills.
 
 
 
 Qualifications
 
 
 
 Undergraduate or master&rsquo;s degree with an expected graduation date between Dec 2026-Sep 2027
 
 
 Outstanding record of academic achievement
 
 
 Proven record of leadership in a work setting and/or through extracurricular activities
 
 
 Exceptional analytical and quantitative problem-solving skills
 
 
 Ability to communicate complex ideas effectively &ndash; both verbally and in writing &ndash; in English
 
 
 This role is not eligible for Mastercard&rsquo;s work authorization sponsorship. As such, candidates must be eligible to work in Egypt, now as well as in the future, without employer sponsorship.
 
 
 To participate in our job simulation and experience what it&rsquo;s like to work as a Consultant at Mastercard visit: https://www.theforage.com/simulations/mastercard/advisors-client-services-xvlw
 
 
 
 Corporate Security Responsibility
 
 
 
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 
 
 <ul>
 <li>
 Abide by Mastercard&rsquo;s security policies and practices;
 </li>
 <li>
 Ensure the confidentiality and integrity of the information being accessed;
 </li>
 <li>
 Report any suspected information security violation or breach, and
 </li>
 <li>
 Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
 </li>
 </ul>
</div>

Associate Consultant Intern, 2026 – Cairo, Egypt

Explore 402+ Associate data scientist in Finance Jobs In Finance Jobs In Marketing Jobs In Cairo this January. Find roles across top companies and apply now to boost your career.