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data analyst (financial analytics) Jobs in Egypt

data analyst (financial analytics)

data scientist

Goodie AI

<div>We are:
Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they&rsquo;re represented.
Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn&rsquo;t exist two years ago - we were early, and we&rsquo;re defining it.
We&rsquo;re backed by strong investors, trusted by category-leading customers, and scaling fast. We&rsquo;re hiring curious, ambitious builders to help shape the future of AI search.
We are looking for:
Goodie AI is searching for a talented and ambitious Data Scientist to join our growing team! Goodie helps brands win visibility and revenue across AI search, LLMs, and agentic commerce. You will be the point person turning messy multi-model signals into measurement, forecasts, and optimizations that our product can act on. If you enjoy building models that ship and change customer behavior, you will like this seat.
You&rsquo;ll do:<ul><li>
Work with large datasets. Own efficient querying, cleaning, labeling, and taxonomy alignment for brands, SKUs, and categories.</li><li>
Design sampling and classification strategies that turn noisy LLM outputs and crawler logs into reliable brand and product insights.</li><li>
Use LLMs and NLP to extract structure from unstructured text at scale. Topics include query fan-out, sentiment, citation extraction, and entity linking for brands, products, and creators.</li><li>
Define product-grade metrics. Create durable definitions for visibility score, answer coverage, product presence, and agentic checkout readiness.</li><li>
Build and run experimentation frameworks. A/B tests, holdouts, counterfactuals, and uplift modeling to quantify impact on citations, share of voice, and conversions.</li><li>
Develop and refine predictive models that analyze and forecast AI search behavior across models and surfaces.</li><li>
Translate complex findings into clear decisions. Partner with the founding team to inform roadmap, pricing, and customer playbooks.</li><li>
Create evaluation harnesses. Establish automatic evals and human-in-the-loop labeling for model quality, bias, and drift across LLM providers.</li><li>
Detect anomalies. Build monitors for crawler behavior, rankings, and feed health to catch regressions before customers do.</li></ul>
You have:<ul><li>
3 to 7 years in applied analytics or data science within tech, marketing, or ads. Startup or high-growth experience preferred.</li><li>
Strong Python and SQL. Comfortable in notebooks and in code reviews.</li><li>
Skilled with sampling and inference. Stratified sampling, bootstrapping, extrapolation, reweighting, and variance estimation.</li><li>
Solid ML toolkit. Time series, classification, regression, weak supervision, and methods to estimate event frequency from partial observations.</li><li>
Practical LLM knowledge. Strengths in prompt design, structured extraction, embeddings, and an understanding of model limits and failure modes.</li><li>
Curious and current on multi-modal and LLM research. You enjoy reading papers and pressure testing ideas in real data.</li><li>
Builder mindset in a fast team. You value clarity, speed, and ownership.</li></ul>
Nice to have:<ul><li>
Experience with large-scale information extraction or search quality</li><li>
Background in causal inference, MMM, or attribution models</li><li>
Hands-on work with product feeds and retail catalogs</li><li>
Contributions to open source or published work we can read</li><li>
Deployed side projects we can click through</li></ul>
Our data and modeling canvas:<ul><li>
Problems: AI search measurement, AEO scoring, agentic commerce readiness, product catalog and feed integrity, ranking and citation shifts, attribution for AI traffic</li><li>
Signals: LLM responses, crawler and agent logs, SERP and AI answer snapshots, product feeds, marketplace metadata, GA4 and GSC connectors, CRM data</li><li>
Targets: Share of voice, citation count, answer coverage, SKU presence, conversion lift, time-to-value for optimizations</li></ul>
Tech stack you will touch:<ul><li>
Languages: Python, SQL</li><li>
Libraries: pandas, NumPy, scikit-learn, PyTorch or TensorFlow, Hugging Face, spaCy.</li><li>
Data: Postgres or AlloyDB, BigQuery, dbt, DuckDB for local work</li><li>
Production ML/MLOps: model serving (FastAPI/Flyte/Batch jobs), CI/CD, versioning, experiment tracking (MLflow/Weights &amp; Biases), monitoring &amp; alerting for performance/drift.</li><li>
Cloud &amp; data tooling: AWS/GCP/Azure, containers (Docker).</li><li>
Models and providers: OpenAI, Anthropic, Google, Meta, Mistral, Perplexity, together with internal eval harnesses</li></ul>
BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we&rsquo;re sorry that scammers have added this element to your search for something new. Stay vigilant out there!</div>

Data Scientist

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<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>

Senior 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

Nok Human Capital

We are hiring a Senior Analytics &amp; AI Engineer to own and scale the end-to-end analytics foundation for a fast-growing organization. You will design core data models, KPIs, and dashboards while partnering directly with business stakeholders to turn ambiguous questions into actionable insights. Beyond traditional analytics, you will apply AI-driven automation to reduce manual work and accelerate decision-making. This role has direct impact on leadership visibility, operational efficiency, and data-driven strategy.About us NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.Key Responsibilities<ul><li>Build and automate core KPI reporting and performance dashboards used by leadership.</li><li>Design scalable data tables, datasets, and metric definitions to support self-serve analytics.</li><li>Own dashboard delivery end-to-end using QuickSight, Tableau, or Power BI.</li><li>Translate ambiguous business problems into structured analyses and clear recommendations.</li><li>Develop deep-dive analytics across operations, supply chain, inventory, profitability, customer experience, marketing, and topline performance.</li><li>Apply AI-enabled analytics solutions such as Text-to-SQL, RAG-based retrieval, forecasting, anomaly detection, and automated performance summaries.</li><li>Partner with senior stakeholders to drive adoption of dashboards and automated analytics tools.</li></ul>Requirements<ul><li>5+ years of experience in analytics, BI, or data roles (e.g., Senior Data Analyst, BI Engineer, Analytics Engineer).</li><li>Advanced SQL skills with strong experience working on large datasets and data modeling.</li><li>Proven end-to-end ownership of dashboards using QuickSight, Tableau, or Power BI.</li><li>Demonstrated experience building scalable analytics solutions beyond ad-hoc reporting.</li><li>Hands-on experience applying AI or automation to analytics workflows (e.g., LLMs, Text-to-SQL, RAG, forecasting).</li><li>Ability to work independently, manage stakeholders directly, and deliver with minimal guidance.</li></ul>Job Type: Full-time

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>

Taager

<div>About Taager 
Taager is the first B2B startup specialized in supporting social sellers. We are democratizing the social e-commerce space by enabling entrepreneurs &mdash; whether beginners or experienced &mdash; to sell online without capital, inventory, or operational experience. We handle product selection, storage, logistics, payment collection, and customer service on behalf of our merchants. 

Launched in 2019 with a team of just 8 people, we&rsquo;ve grown to over 350 employees across Egypt, Saudi Arabia, the UAE, and more recently, Morocco. We serve over 34,000 social commerce sellers from diverse backgrounds &mdash; from students seeking side income to seasoned digital marketers aiming to become independent entrepreneurs. Our sellers have access to over 2,500 high-potential products.

Our teams are driven by our mission and deeply motivated to provide the best experience for our sellers. With a commitment to quality and operational excellence, we're transforming the social commerce landscape in the MENA region! 
Our Mission

To empower anyone to start and grow their own e-commerce business. 
Our Vision

We envision a world where anyone can sell online, earn a living, and even build wealth &mdash; all within a simple, low-risk environment. A world where the magic of technology is made accessible to the most talented merchants. 
Why Join Taager?
<ul>
<li>You'll work in an international environment with team members from over 10 nationalities.</li>
<li>You&rsquo;ll have access to a very attractive compensation plan, depending on your ability to scale.</li>
<li>We invest in team development and prioritize internal promotions.</li>
<li>You&rsquo;ll work alongside ambitious, kind, and talented individuals.</li>
</ul>
About the Role

We are looking for a Senior Data Scientist to drive data-informed product decisions by turning complex data into actionable insights. You will collaborate closely with product, engineering, and UX teams to measure impact, run experiments, and improve product performance.

Responsibilities: 
<div>
<ul><li>Work closely with stakeholders across engineering, product, and UX teams to drive product decisions.</li></ul>
<ul><li>Manipulate and translate big data into key insights to assist the development of relevant, impactful, and measurable actions.</li></ul>
<ul><li>Design experiments and A/B testing that will enable feature teams to make effective product decisions, and help teams evaluate the results of these experiments.</li></ul>
<ul><li>Build dynamic dashboards and visual aids to monitor platform activity and performance.</li></ul>
<ul><li>Collaborate closely with product teams to understand and implement data requirements.</li></ul>
<ul><li>Create data-driven product solutions for the product team leveraging shallow machine learning models.</li></ul>
</div>
Required skills : 
<div>
<ul><li>Proficiency in SQL for querying large datasets.</li></ul>
<ul><li>Expertise in Python for data analysis and manipulation.</li></ul>
<ul><li>Strong understanding of experimental design, statistical significance, and hypothesis testing.</li></ul>
<ul><li>Experience designing and analyzing A/B tests.</li></ul>
<ul><li>Strong foundation in statistics, including probability, distributions, and inferential statistics.</li></ul>
<ul><li>Knowledge of shallow machine learning models (e.g., linear regression, logistic regression, k-means) and familiarity with machine learning libraries.</li></ul>
<ul><li>Proficiency in visualization tools (e.g., Tableau) and building dynamic dashboards.</li></ul>
<ul><li>Familiarity with cloud platforms (e.g., AWS, GCP).</li></ul>
<ul><li>Ability to translate complex data into actionable insights and recommendations.</li></ul>
<ul><li>Aptitude for identifying key issues and developing data-driven solutions.</li></ul>
<ul><li>Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders.</li></ul>
<ul><li>Knowledge of product management and user experience principles to align data insights with business goals.</li></ul>
</div>
Extra skills: 
<div>
<ul><li>Experience with DBT and Airflow.</li></ul>
<ul><li>Experience with ETL processes and data pipeline development.</li></ul>
<ul><li>Experience with data warehousing solutions (e.g., Snowflake).</li></ul>
<ul><li>Understanding of containerization technologies (e.g., Docker, Kubernetes).</li></ul>
<ul><li>Experience in the e-commerce industry.</li></ul></div></div>

Coca-Cola HBC

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead development and deployment of advanced analytics and traditional machine learning solutions as proof-of-concept and in production environments.
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution (at user story level or even feature level).
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Guide the activities of less experienced team members or lead external teams and collaborate with internal Engineering team.
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 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 i
 
 
 mpact.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 - for us and for you - when we OPEN UP.
 
 
 
 
 
 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>

Explore 969+ Data scientist in Egypt this January. Find roles across top companies and apply now to boost your career.

969 data scientist jobs IN Egypt

Data Scientist

Senior Data Scientist

Data Scientist II

Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist