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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>
 <li>
 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>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 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>

Data Scientist

Nafham - نفهم

<div>
 
 Company Description
 
 
 
 Nafham is a personalized online learning platform for students, teachers, and the larger community. We offer curriculum-based video lessons and online tutoring for national curriculums in Egypt and the Gulf region, alongside international programs like SAT and IGCSE. Our platform also provides a diverse range of life skills courses, such as programming, language learning, and resume writing. With a strong commitment to enhancing education, Nafham aims to maximize the potential of young Arab and African individuals.
 
 
 
 Role Description
 
 
 
 This is a full-time, on-site AI Data Scientist role based in Cairo, Egypt. The AI Data Scientist will be responsible for designing, developing, and implementing data-driven solutions using statistical and machine learning models. The role involves analyzing large datasets, generating actionable insights, and visualizing data to inform both business and educational strategies. The individual will collaborate with cross-functional teams to optimize processes, improve user experience, and support decision-making through accurate data analysis.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong background in Data Science, Statistics, and proficiency in designing and implementing machine learning models.
 </li>
 <li>
 Proficiency in Data Analysis and Data Analytics for identifying patterns, trends, and insights from complex datasets.
 </li>
 <li>
 Skills in Data Visualization, using tools like Tableau, Power BI, or similar technologies, to present findings effectively.
 </li>
 <li>
 Experience with programming languages such as Python, R, or SQL used for data manipulation and analysis.
 </li>
 <li>
 Familiarity with large-scale data processing frameworks like Hadoop or Spark is a plus.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities, with excellent attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment and adapt to a fast-paced, dynamic setting.
 </li>
 </ul>
</div>

AI Data Scientist

e& CX Solutions Egypt

<div>
 
 
 About e&amp; CX Solutions
 
 
 
 It&rsquo;s one of Etisalat affiliates that offers business process outsourcing services. With Our highly skilled team, cutting-edge technology, and a decade of expertise in empowering business growth, we enable you to optimize operations and enhance customer experiences. e&amp; global services in Egypt cater excellence to your ever-changing lifestyle and ever-expanding demands &ndash; covering not only business process outsourcing, but a wide collection of services that suit your various needs. We will continue to be your trusted companion and consultant, enabling connectivity and everything beyond, accelerating the digital world and pioneering future-forward spaces.
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to customers
 </li>
 <li>
 use machine learning tools and statistical techniques to produce solutions to problems
 </li>
 <li>
 test data mining models to select the most appropriate ones for use on a project
 </li>
 <li>
 maintain clear and coherent communication, both verbal and written, to understand data needs and report results
 </li>
 <li>
 create clear reports that tell compelling stories about how customers or clients work with the business
 </li>
 <li>
 assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
 </li>
 <li>
 horizon scan to stay up to date with the latest technology, techniques, and methods
 </li>
 <li>
 conduct research from which you'll develop prototypes and proof of concepts
 </li>
 <li>
 look for opportunities to use insights/datasets/code/models across other functions in the Etisalat
 </li>
 <li>
 stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
 </li>
 </ul>
 
 
 
 
 
 
 The Ideal candidate must have:
 
 
 
 
 
 
 &bull; Strong Python skills (Tensorflow, Keras , Sklearn, Pandas, Numpy)
 
 
 &bull; Recommendations Engine
 
 
 &bull; Advanced SQL skills &amp; Data Warehouse concepts
 
 
 &bull; Oracle/IBM Netezza know-how is a plus
 
 
 &bull; Probability &amp; Statistics ( A/B Testing , Probability Distributions , Summary Statistics)
 
 
 
 
 
 &bull; Supervised and Unsupervised Learning (Models understanding)
 
 
 &bull;Minimum 4 years of experience.
 
 
 &bull; Model Evaluation Metrics (Precision, Recall, F1 Score, etc.)
 
 
 &bull; Data Analysis (Outlier Detection, Dealing with Class Imbalance, Data Synthesis)
 
 
 &bull; NLP &amp; Sentimental Analysis
 
</div>

eXtra (United Electronics Co.)

<div>
 
 
 Essential Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Collect and analyze large and complex datasets from various sources.
 </li>
 <li>
 Create reports and visual dashboards to support decision-making.
 </li>
 <li>
 Design and apply machine learning models to optimize processes and predict future trends.
 </li>
 <li>
 Continuously evaluate and improve model performance.
 </li>
 <li>
 Collaborate with IT teams to ensure efficient organization and storage of data.
 </li>
 <li>
 Implement data cleaning and transformation (ETL) processes to prepare data for analysis.
 </li>
 <li>
 Work with diata, sales, and management teams to understand their requirements and integrate data-driven solutions.
 </li>
 <li>
 Stay updated with the latest technologies and trends in data science to provide innovative solutions.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 </li>
 <li>
 At least 5 years of practical experience in data science or data analysis.
 </li>
 <li>
 
 Programming Languages:
 
 Proficiency in Python and/or R.
 </li>
 <li>
 
 Data Analysis:
 
 Experience with libraries such as Pandas and NumPy.
 </li>
 <li>
 
 Databases:
 
 Strong knowledge of SQL and experience with relational databases.
 </li>
 <li>
 
 Visualization Tools:
 
 Experience with tools like Tableau, Power BI, or Matplotlib.
 </li>
 </ul>
 
 
</div>

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 a European high-tech system integrator, providing leading edge professional services focused on creating business value through Analytics and Cognitive solutions &ndash; addressing Telecommunications, Financial Services, Retail, Energy &amp; Utilities, Pharmaceutical, and other markets' strategic opportunities.
 
 
 
 
 As a highly specialised engineering company, Celfocus helps clients undergo their innovation path, providing technological solutions to extract value from data and make it actionable.
 
 
 Serving clients in +25 countries, Celfocus delivers solutions that boost customer experience and enhance operational efficiency, via our Cognitive Automation, Data &amp; Analytics and Digital offers.
</div>

Senior Data Scientist

BasharSoft

<div>
 We are seeking a Senior Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Agentic AI to join our dynamic team in the Information Technology sector. In this role, you will leverage your advanced analytical skills and technical knowledge to drive innovative solutions that enhance our AI capabilities and product offerings.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize NLP algorithms and models to improve product features and enhance user experience.
 </li>
 <li>
 Develop and fine-tune Large Language Models to support natural language understanding and generation tasks.
 </li>
 <li>
 Research and integrate state-of-the-art Agentic AI techniques to create autonomous systems that can perform complex tasks.
 </li>
 <li>
 Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to translate business requirements into technical specifications.
 </li>
 <li>
 Analyze and visualize large datasets to derive actionable insights, inform decision-making, and identify opportunities for growth.
 </li>
 <li>
 Mentor and guide junior data scientists in best practices and advanced methodologies in data science and machine learning.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
 </li>
 <li>
 5+ years of experience in data science with a focus on NLP and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow, PyTorch, or similar.
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and model evaluation in the context of NLP tasks.
 </li>
 <li>
 Strong understanding of Transformer architectures and LLMs, including BERT, GPT, or similar models.
 </li>
 <li>
 Knowledge of Agentic AI concepts and their application in real-world scenarios.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hands-on ownership of production-grade AI systems.
 </li>
 <li>
 Opportunity to lead innovation at the intersection of NLP, LLMs, and agentic AI.
 </li>
 <li>
 Exposure to cutting-edge AI tools, architectures, and research.
 </li>
 <li>
 Collaboration with highly skilled engineers, data scientists, and product experts.
 </li>
 <li>
 Clear path for technical and leadership growth.
 </li>
 <li>
 Hybrid work model
 </li>
 <li>
 Social and medical insurance
 </li>
 <li>
 Great working environment
 </li>
 <li>
 Internal career growth opportunities
 </li>
 </ul>
</div>

Senior Data Scientist – NLP, LLMs & Agentic AI

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com
 
 
 
 Overview:
 
 
 
 As an SAP Technical BTP Lead (Data Scientist) at Accenture, you will be responsible for identifying opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining technology-enabled business solutions. You will translate business needs into SAP BTP solutions and operating models, supporting transformation initiatives by developing business cases and guiding their implementation. As a subject matter expert, you will lead and collaborate with teams to ensure effective performance, contribute to key decisions, and provide innovative solutions to complex challenges. Advanced proficiency in SAP BTP API Management is essential, with recommended expertise in SAP BTP Extension Suite.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Identify opportunities to deliver business value by assessing the current state, capturing high-level requirements, and defining SAP BTP-enabled business solutions.
 
 </li>
 <li>
 Act as a subject matter expert in SAP BTP API Management and SAP BTP Extension Suite, providing guidance and solutions to complex challenges.
 
 </li>
 <li>
 Facilitate workshops to gather requirements, foster collaboration among stakeholders, and validate proposed solutions.
 
 </li>
 <li>
 Develop comprehensive business cases that outline the benefits, impacts, and feasibility of proposed solutions.
 
 </li>
 <li>
 Create and maintain documentation that clearly articulates business processes, technology integrations, and solution designs.
 
 </li>
 <li>
 Lead cross-functional teams in the implementation of SAP BTP solutions, ensuring alignment with strategic goals and business objectives.
 
 </li>
 <li>
 Collaborate with multiple teams, contribute to key decisions, and provide solutions to problems that apply across various teams.
 
 </li>
 <li>
 Continuously assess and refine business processes to enhance efficiency, effectiveness, and alignment with organizational goals.
 
 </li>
 <li>
 Stay updated on the latest SAP BTP trends, tools, and best practices to drive innovation and efficiency in solution delivery.
 
 
 
 </li>
 
 Basic Qualifications:
 
 
 
 
 <li>
 Bachelor&rsquo;s degree in Data Science, Information Technology, Computer Science, Business Administration, or a related field.
 
 </li>
 <li>
 Minimum of [10 years] of experience in SAP BTP consulting, data science, or solution architecture.
 
 </li>
 <li>
 Advanced proficiency in SAP BTP API Management.
 
 </li>
 <li>
 Strong understanding of SAP BTP Extension Suite and its role in delivering business value.
 
 </li>
 <li>
 Proven experience in gathering and documenting business requirements and designing technology-enabled solutions.
 
 </li>
 <li>
 Excellent problem-solving skills with the ability to work independently and provide innovative solutions.
 
 </li>
 <li>
 Strong collaboration and communication skills to engage with stakeholders and cross-functional teams.
 
 </li>
 <li>
 Experience in facilitating workshops and developing detailed process and solution documentation.
 
 
 
 </li>
 
 Preferred Qualifications:
 
 
 
 
 <li>
 Certifications in SAP BTP, SAP API Management, or related areas.
 
 </li>
 <li>
 Familiarity with SAP S/4HANA and cloud-based SAP solutions.
 
 </li>
 <li>
 Experience with data science methodologies, machine learning, and advanced analytics.
 
 </li>
 <li>
 Knowledge of Agile development methodologies and project management practices.
 
 </li>
 <li>
 Proven ability to identify opportunities for innovation and process improvement in SAP BTP implementations.
 
 
 
 </li>
 
 Why join us?
 
 
 
 
 <li>
 We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
 
 </li>
 <li>
 You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
 
 </li>
 <li>
 Flexible work arrangements and a range of benefits including competitive rewards
 
 </li>
 <li>
 You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
 
 </li>
 <li>
 You will also have opportunities to make a difference to the communities in which we work and live
 
 
 
 </li>
 
 Next Steps:
 
 
 
 If this sounds like the ideal role, career and company for you, click to apply.
 
 
 To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.
 
 
 Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube
 
 
</div>

SAP Technical BTP Consultant (Data Scientist)

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Senior Data Scientist – NLP, LLMs & Agentic AI

SAP Technical BTP Consultant (Data Scientist)