engineering manager

estimation engineer

senior data engineer

software engineer

application engineer

machine learning engineer

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and implement advanced data models and algorithms to solve business problems.
 </li>
 <li>
 Analyze large and complex data sets to identify trends, patterns, and insights.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
 </li>
 <li>
 Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
 </li>
 <li>
 Apply machine learning and AI techniques to enhance data-driven decision-making.
 </li>
 <li>
 Ensure data governance, quality, and compliance with internal and external standards.
 </li>
 <li>
 Stay current with industry trends and emerging technologies in data science and analytics.
 
 
 </li>
 </ul>
 
 Required Qualifications and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Minimum of 4 years of professional experience in data science or analytics roles.
 </li>
 <li>
 Technical proficiency in complex statistical analysis using tools such as R or Python.
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Knowledge of generative AI models and their applications.
 </li>
 <li>
 Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
 </li>
 <li>
 Strong skills in data visualization tools such as Power BI.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
 </li>
 <li>
 Flexibility to work across time zones and support global clients.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Advanced degree (MSc or PhD) in a quantitative field.
 </li>
 <li>
 Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
 </li>
 <li>
 Experience working in a professional services or consulting environment.
 </li>
 <li>
 Experience in managing analytics projects in a complex, matrixed environment.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong interpersonal and stakeholder management skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
 </li>
 <li>
 Excellent time management and organizational skills.
 </li>
 <li>
 Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
 </li>
 <li>
 High attention to detail.
 </li>
 <li>
 Adaptability and resilience in a fast-paced environment
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data Science - Manager

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 At least 2 years of experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

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>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 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>
 <li>
 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
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 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>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <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

Ericsson

<div>
 
 Join our Team
 
 
 
 
 About This Opportunity
 
 
 
 As a Senior Data Scientist, you'll be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide thought leadership, perform Advanced Statistical Analytics, and build insights into data to provide to the business useful insights, identify trends, and measure performance that addresses business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Perform Data Science leadership.
 </li>
 <li>
 Synthesize problems into data question(s).
 </li>
 <li>
 Decide approach for Data Science.
 </li>
 <li>
 Design &amp; perform data science experiments.
 </li>
 <li>
 Do Proof-of-Concepts on Cloud Infrastructures.
 </li>
 <li>
 Develop Data Science Infrastructure &amp; Tools.
 </li>
 <li>
 Convert data into useful insights.
 </li>
 <li>
 Act in external relations.
 
 
 </li>
 </ul>
 
 The skills you bring:
 
 
 
 <ul>
 <li>
 A bachelor's or master's degree in computer science, engineering, or a related field.
 </li>
 <li>
 Minimum 6+ years of professional work experience in technology, business analytics and working with large data sets, preferably in a global environment with distributed virtual teams.
 </li>
 <li>
 Minimum 4+ years of experience in data science.
 </li>
 <li>
 Fluency in Python is a MUST.
 </li>
 <li>
 Excellent general Software Engineering skills: maintainable code, testing, design principles, Object Oriented Programming.
 </li>
 <li>
 A good conceptual understanding of statistics, probability, multivariable calculus, and linear algebra.
 </li>
 <li>
 A good understanding of the underlying theory for both classical machine learning as well as deep learning algorithms.
 </li>
 <li>
 Experience with using ML and DL frameworks (Tensorflow, Pytorch, Keras, etc.).
 </li>
 <li>
 Experience with data manipulation and analysis using Pandas is a must.
 </li>
 <li>
 Expertise in unsupervised learning techniques and advanced clustering algorithms, with a focus on practical application and interpretation of results.
 </li>
 <li>
 Experience with Python Visualization Libraries (Matplotlib, Plotly, Seaborn, etc.).
 </li>
 <li>
 Experience in packaging machine learning work.
 </li>
 <li>
 Experience with version control systems (e.g., Git).
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing, model training, and model deployment.
 </li>
 <li>
 Experience with using testing frameworks (Pytest, Unittest, etc.).
 </li>
 <li>
 Experience with reinforcement learning is a strong plus.
 </li>
 <li>
 Demonstrated skills in Generative AI, with hands-on experience in working with LLMs and RAGs.
 </li>
 <li>
 Hands-on involvement in fine tuning LLMs is a bonus.
 </li>
 <li>
 Experience with SQL is a plus.
 </li>
 <li>
 Knowledge of natural language processing (NLP) techniques and tools, or experience with generative models like GPT or BERT is highly desirable.
 </li>
 <li>
 Experience with Tableau or Power BI is a plus.
 </li>
 <li>
 The ability to handle large amounts of high dimensional data (knowledge of Hadoop or Spark) is a plus.
 </li>
 <li>
 Effective collaboration in cross-functional teams.
 </li>
 <li>
 Leadership skills and ability to mentor junior data scientists.
 </li>
 </ul>
</div>

Senior Data Scientist

Inovola

<div>
 
 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLMs for production-ready applications.
 </li>
 <li>
 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
 </li>
 <li>
 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments.
 </li>
 <li>
 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
 </li>
 <li>
 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
 </li>
 <li>
 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
 </li>
 <li>
 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
 </li>
 <li>
 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
 </li>
 <li>
 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
 </li>
 <li>
 Understanding of generative AI models for text, image, or multimodal outputs.
 </li>
 <li>
 Familiar with traditional ML and computer vision.
 </li>
 <li>
 Strong problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 3+ years of hands-on experience in AI/ML model development and deployment.
 </li>
 </ul>
</div>

Mid/Senior AI Developer

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>

Explore 308+ Machine learning engineer in Cairo Egypt this November. Find roles across top companies and apply now to boost your career.

308 machine learning engineer jobs IN Cairo Egypt

ETIC, Data Science - Manager

Junior Data Scientist

Data Scientist

Senior Data Scientist

Mid/Senior AI Developer

Data Scientist

Data Scientist