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senior scientist

Kerry

<div>
 
 Requisition ID 61714
 
 
 Position Type FT Permanent
 
 
 Workplace Arrangement
 
 
 
 
 About Kerry
 
 
 
 Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.
 
 
 
 About the role
 
 
 
 This role will develop and optimize new and reformulated products by conducting lab and pilot trials, analyzing results, and driving continuous improvement.
 
 
 Work Location Giza, Egypt
 
 
 Reporting To RD&amp;A Manager
 
 
 
 Key responsibilities
 
 
 
 <ul>
 <li>
 Develop and optimize new and reformulated products across assigned categories.
 </li>
 <li>
 Conduct lab and pilot trials, analyze results, and recommend improvements.
 </li>
 <li>
 Partner with customers to co-create tailored solutions and support product launches.
 </li>
 <li>
 Provide technical leadership, mentoring, and troubleshooting expertise.
 </li>
 <li>
 Ensure compliance with internal quality, safety, and regulatory standards.
 </li>
 <li>
 Collaborate cross-functionally with QA, operations, marketing, and procurement.
 </li>
 <li>
 Drive innovation, cost optimization, and continuous improvement initiatives.
 
 
 </li>
 </ul>
 
 Qualifications and skills
 
 
 
 <ul>
 <li>
 Preferably a Bachelor&rsquo;s or Master&rsquo;s degree in Food Science, Food Technology, or related field.
 </li>
 <li>
 Preferably a minimum 8 years of experience in product development within the food industry.
 </li>
 <li>
 Strong technical knowledge in sauces, soups, dressings, toppings, and sweet applications.
 </li>
 <li>
 Proven record in customer collaboration and successful commercialization.
 </li>
 <li>
 Fluent in English; strong communication and project management skills.
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Innovative and passionate about food creation.
 </li>
 <li>
 Detail-oriented, proactive, and results-driven.
 </li>
 <li>
 Strong team player with excellent interpersonal skills.
 </li>
 <li>
 Customer-focused and adaptable to change.
 
 
 </li>
 </ul>
 Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a &ldquo;starter kit,&rdquo; investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.
 
 
 
 Recruiter
 
 
 
 
 Posting Type
 
 LI
 
 
</div>

RDA Senior Scientist

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Qualifications
 
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 4 to 6 years of experience is required,
 </li>
 <li>
 Strong record of
 
 production-grade ML/NLP projects
 
 .
 </li>
 <li>
 Experience leading
 
 small data science teams
 
 or research initiatives.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Deep expertise in
 
 model architecture design
 
 ,
 
 feature stores
 
 , and
 
 model monitoring
 
 .
 </li>
 <li>
 Experience in
 
 ensemble blending
 
 ,
 
 A/B testing
 
 , and
 
 model explainability
 
 (SHAP, LIME).
 </li>
 <li>
 Builds and fine-tunes
 
 transformer-based models
 
 for custom tasks (summarization, Q&amp;A, document intelligence).
 </li>
 <li>
 Implements
 
 RAG (Retrieval-Augmented Generation)
 
 and
 
 embedding-based semantic search
 
 .
 </li>
 <li>
 Integrates
 
 vector databases
 
 (Pinecone, FAISS, Chroma).
 </li>
 <li>
 Uses
 
 LangChain or LlamaIndex
 
 for orchestration.
 </li>
 <li>
 Evaluates and optimizes
 
 prompt templates
 
 and
 
 context length efficiency
 
 .
 </li>
 <li>
 Designs
 
 data pipelines
 
 (Airflow, Spark, Dataiku).
 </li>
 <li>
 Deploys
 
 scalable APIs
 
 , manages
 
 CI/CD
 
 ,
 
 monitoring
 
 , and
 
 drift detection
 
 .
 </li>
 <li>
 Works closely with product and engineering teams to embed AI in production systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Leadership &amp; Soft Skills
 
 </li>
 <li>
 Leads small teams or workstreams.
 </li>
 <li>
 Ensures project quality, deadlines, and alignment with business KPIs.
 </li>
 <li>
 Coaches mid-level team members and contributes to talent development.
 </li>
 </ul>
</div>

Senior Data Scientist

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>

700apps

<div>
 700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization
 </li>
 <li>
 Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions
 </li>
 <li>
 Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders
 </li>
 <li>
 Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability
 </li>
 <li>
 Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization
 </li>
 <li>
 Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background
 </li>
 <li>
 5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications
 </li>
 <li>
 Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Strong understanding of statistical analysis, data mining techniques, and computational methods
 </li>
 <li>
 Demonstrated ability to work on complex datasets and develop accurate predictive models
 </li>
 <li>
 Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
 </li>
 <li>
 Publications in reputable AI conferences or journals are an advantage
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 <li>
 Attractive Salary
 </li>
 <li>
 Social Insurance
 </li>
 <li>
 Family Package
 </li>
 </ul>
</div>

Senior AI Scientist

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 
 Job Description
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 
 <ul>
 <li>
 Deploy advanced machine learning models and AI-driven solutions across cloud environments.
 </li>
 <li>
 Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 
 
 </li>
 </ul>
 
 Cloud &amp; Data Engineering
 
 
 
 <ul>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 
 
 </li>
 </ul>
 
 MLOps &amp; Automation
 
 
 
 <ul>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Familiarity with Git and collaborative development workflows.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 6+ years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments.
 
 
 </li>
 </ul>
 
 Communication Skills
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Fluent in Qatari Arabic &amp; English, both spoken and written.
 
 
 </li>
 </ul>
 
 Additional Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a continuous learning mindset.
 </li>
 <li>
 Team management.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Mid Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 2 to 4 years of experience is required.
 </li>
 <li>
 Proven experience in
 
 end-to-end ML project delivery
 
 (data prep &rarr; modeling &rarr; deployment).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Advanced
 
 Python
 
 (modular code, OOP, APIs).
 </li>
 <li>
 Strong
 
 SQL
 
 (window functions, query optimization).
 </li>
 <li>
 Expert in
 
 supervised/unsupervised learning
 
 ,
 
 feature engineering
 
 , and
 
 model tuning
 
 .
 </li>
 <li>
 Solid understanding of
 
 time-series modeling
 
 and
 
 model interpretability (SHAP, LIME)
 
 .
 </li>
 <li>
 Experience with
 
 NLP pipelines
 
 (text cleaning, vectorization, embeddings).
 </li>
 <li>
 Knowledge of
 
 transformer models
 
 (BERT, GPT) and their fine-tuning using Hugging Face or OpenAI API.
 </li>
 <li>
 Able to build
 
 classification, summarization, or entity extraction
 
 solutions.
 </li>
 <li>
 Understanding of
 
 prompt engineering basics
 
 and
 
 embedding-based search
 
 .
 </li>
 <li>
 Familiarity with
 
 Airflow, Docker, FastAPI/Flask
 
 , or
 
 CI/CD pipelines
 
 for model deployment.
 </li>
 <li>
 Works with cloud ML environments (
 
 Azure ML, AWS Sagemaker, or Dataiku
 
 ).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Mentors junior data scientists.
 </li>
 <li>
 Communicates complex results in clear business language.
 </li>
 <li>
 Works independently and aligns projects to measurable business outcomes.
 </li>
 </ul>
</div>

Mid Senior Data Scientist

Arrow Components

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Explore 343+ Senior scientist in Cairo this December. Find roles across top companies and apply now to boost your career.

343 senior scientist jobs IN Cairo

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Senior Data Scientist

Senior AI Scientist

Senior Data Scientist

Mid Senior Data Scientist

Data Scientist / Senior Machine Learning Engineer