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data scientist (arabic speaker) Jobs in Cairo

data scientist (arabic speaker)

financial analyst

analytical data scientist

Norconsult Telematics

<div>
 
 Data Scientist (Arabic)
 
 
 
 
 
 Location:(Riyadh, Saudi Arabia) Arabic Speakers require
 
 d
 
 
 
 
 
 
 
 Position Objective
 
 s
 
 
 Develop advanced predictive and taxonomic models to drive data-driven insights for business and analytical applications.
 
 
 Leverage Python and machine learning tools to analyse data, extract valuable indicators, and provide actionable recommendations to support strategic decision-making
 
 .
 
 
 
 
 
 
 
 Job Description &amp; Responsibilit
 
 ies
 
 <ul>
 <li>
 3-5 years in developing predictive and taxonomic models using Python to address business challenges.
 </li>
 <li>
 Utilise machine learning libraries like Scikit-learn and Pandas for data analysis and modelling.
 </li>
 <li>
 Interpret and analyse complex datasets to extract meaningful indicators and trends.
 </li>
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 Make data-driven recommendations based on advanced analytics to guide business decisions.
 </li>
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 Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
 </li>
 <li>
 Optimise models for accuracy, scalability, and performance in production environments.
 </li>
 <li>
 Document modelling processes, findings, and recommendations for transparency and collaboration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experi
 
 ence
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field; a Master&rsquo;s degree is a plus.
 </li>
 <li>
 Python Modelling Expertise (Mandatory): 3&ndash;5 years of experience developing predictive and taxonomic models using Python.
 </li>
 <li>
 Machine Learning Proficiency (Mandatory): Hands-on expertise with Scikit-learn, Pandas, and other machine learning libraries for data analysis and modelling.
 </li>
 <li>
 Advanced Analytics and Recommendations (Mandatory): Proven ability to perform advanced analytics and deliver actionable recommendations based on data insights.
 </li>
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 Strong skills in interpreting and analysing complex datasets to extract valuable indicators.
 </li>
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 Excellent problem-solving, collaboration, and communication skills, with fluency in written and spoken English.
 </li>
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 Familiarity with additional tools (e.g., TensorFlow, PyTorch) or cloud platforms (e.g., AWS, Azure) is a plus.
 </li>
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 Passion for leveraging data science to drive innovative solutions in a dynamic environment.
 </li>
 </ul>
 
 Exp Range 3-5 years to max 7 to 8.
 
</div>

Data Scientist (ARABIC SPEAKER)

Henkel

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

Data Scientist

DXC Technology

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
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 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
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 Data wrangling and feature engineering
 </li>
 </ul>
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 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
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 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
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 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
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 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

noon

<div>
 
 
 Who are we?
 
 
 
 
 
 
 noon, the region's leading consumer commerce platform. On December 12th, 2017, Noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. Noon is a work in progress; we&rsquo;re six years in, but only 5% done. Noon&rsquo;s mission: every door, every day.
 
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience in SQL/BigQuery + any programming language, Python is preferred but not mandatory
 </li>
 <li>
 Excellent analytical skills and problem-solving capabilities
 </li>
 <li>
 Advanced Excel/Google Sheets knowledge
 </li>
 <li>
 Experience in the e-commerce industry is preferred but not mandatory
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Work within a cross-functional team that develops products as part of one of our businesses
 </li>
 <li>
 Design and build batch (and occasionally real-time) data pipelines and models for product, analytics, and reporting purposes
 </li>
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 Monitor data quality and integrity, designing and developing checks to ensure accuracy and consistency
 </li>
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 Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization
 </li>
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 Assist in developing dashboards and visualizations to expose data to users and stakeholders effectively
 </li>
 <li>
 Occasionally develop and optimize ML models to support product goals, as well as deploy and operate such models in production
 </li>
 <li>
 Occasionally support ad-hoc data requests and reporting for business stakeholders
 </li>
 <li>
 Core technologies: Python, SQL, Google Bigquery, Clickhouse
 </li>
 </ul>
 
 
 
 
 
 Who will excel?
 
 
 
 
 
 
 &lsquo;noon isn&rsquo;t for everyone. And that&rsquo;s okay.&rsquo; This is one of our core operating principles.
 
 
 
 
 
 We're looking for resourceful doers. Thinkers who are both creative and analytical. Problem solvers who are enthusiastic about delivering results. Our ideal candidate will be comfortable in a fast-paced, multi-tasked, high-energy and often ambiguous environment.
 
 
 
 
 
 If the above values resonate with you, then noon might be the place for you.
 
</div>

Data & Analytics Engineer

PwC Middle East

<div>
 
 Description
 
 
 
 At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We&rsquo;re a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.
 
 
 Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.
 
 
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 Data Analysts scrutinise information using data analysis tools. The meaningful results they pull from raw data help teams and clients to make important decisions by identifying various facts and trends.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work with stakeholders to understand requirements
 </li>
 <li>
 Develop ETL, analysis and visualisation outputs
 </li>
 <li>
 Be able to explain key drivers of change and apply industry knowledge to the data
 
 
 </li>
 </ul>
 
 Key Skills Required
 
 
 
 <ul>
 <li>
 Data analytics - Ability to use a range of data analytics tools to prepare and analyse datasets
 </li>
 <li>
 Power BI - Create reports and visualisations to PwC standards and apply DAX calculations
 </li>
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 Alteryx - Familiarity with low code tools for ETL and data wrangling
 </li>
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 SQL - Proficient in working across a variety of SQL based databases and able to query and undertake calculations and stored procedures.
 </li>
 <li>
 Python - Familiarity with packages such as pandas, numpy, matplotlib
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 No
 
 
 
 Government Clearance Required?
 
 
 
 No
 
 
 
 Job Posting End Date
 
</div>

ETIC, Data Analyst, Associate

Explore 821+ Analytical data scientist in Cairo this October. Find roles across top companies and apply now to boost your career.

821 analytical data scientist jobs IN Cairo

Data Scientist (ARABIC SPEAKER)

Data Scientist (ARABIC SPEAKER)

Data Scientist

Data Scientist

Data & Analytics Engineer

ETIC, Data Analyst, Associate

Data Scientist