7 Data Mining jobs in Egypt

(

21000DMC

)

The

Data Science manager

**is part of**:
the Valeo Service Strategic Marketing, Digital & Data Science management team which is the worldwide Aftermarket entity of the Valeo Group

as part of the Valeo Service Smart Shared Service Centre management team, which is the global technology development centre for Valeo Services.

The VS Data Science mission is to generate value from data leveraging different analytics techniques

The data science team will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.

**Responsibilities**:
Establish and lead an agile team of Data Scientists.

Having people management responsibility and duties.

Responsible of the capacity planning and delivery management

Setting the team objectives, competencies and advancement.

Build, maintain the team culture and wellbeing.

Responsible of managing the team skills, knowledge and career aspirations.

Leading the technology management part and guarantee the readiness and competent level of the team in different diversified technology domains.

Responsible for setting the technology and platforms roadmaps, releases plans and guarantee the future readiness of the technology and people.

Responsible of managing the relation, business development and account management with different internal stakeholders including different BGs, PG, and PLs.

Act as the Product Owner of the major platforms and manage the back log, budget and ready stories.

Conduct projects, request and assignment sizing, quotations and commit to sprints & releases deliveries

Explorer and bench mark alternative technologies and solutions to choose the most competitive based on the strategic objective of each platform and request.

Lead and engage in advancement and deployment of a variety of technologies

Lead the support and guide engineers to design, build, test, deploy, maintain and improve technology solutions and models.

Lead, manage and influence technical discussions, and a have strategic influence to provide effective consultation and realize objectives.

Have deep technical inclination and work closely with different engineering teams and stakeholders to define technical specifications and model designs.

Have a high level of autonomy and resolve, even in the different ambiguous phases of new project/product development life cycle.

Have the adequate discipline to follow and enforce best practices when it comes to methodologies, standards and processes.

Responsible of delivering workable releases and packages based on agreed commitment and plans.

Follow Agile and Design Thinking methodologies

Anticipate and solve issues with the project team

Contribute to full collaboration between the project actors (UX design, UI design, management, marketing, communication )

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Coordinate with different functional teams to implement models and monitor outcomes.

Develop processes and tools to monitor and analyze model performance and data accuracy.

**Education/Training**:
Computer science, Engineering or Master of Science degree

10+ years of experiences minimum in team management, technology management, delivery management and software development. 7+ years management experience within teams of Data Science, BI, Data Mining and/or Machine Learning.

Professional

**Experience**:
:
Data-oriented personality

Sense of business

Eager to research and learn in a self-directed way (always improving)

Great communication skills

Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Technical Experience in Modelling, BI, big data and data mining is a plus.

Experience and successful track record of projects deliveries management and customer satisfaction

Project management and program management previous experience is of great value

Experience in account management, customer relation management and increasing customer share of wallet is a great asset.

Discipline, methodological, transparent, empowerment and team playing is a core needed skills

Experience with common data science toolkits (is a plus)

Experience with data visualization tools (is a plus)

Proficiency in using query languages such as SQL (is a plus)

Experience with NoSQL databases (is a plus)

Good scripting and programming skills (is a plus)

Understanding of machine learning techniques and algorithms (is a plus)

Primary Location
:
EG-C-Cairo

Job
:
Product Marketing

Organization
:
D01R Valeo

**Responsibilities**:

- Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
- Interpreting data, analysing results using statistical techniques
- Identify, analyse, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with the team to prioritize business and information needs
- Acquiring data from primary or secondary data sources and maintaining databases

**Key Skills Required**:

- Analytical Skills: Business analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyse it to find conclusions
- Communication Skills: Business analysts are often called to present their findings, or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas
- Critical Thinking: Business analysts must look at the numbers, trends, and data and come to new conclusions based on the findings
- Attention to Detail: Data is precise, analysts have to make sure they are vigilant in their analysis to come to correct conclusions
- Math Skills: Data analysts need math skills to estimate numerical data.
- Adeptat queries, report writing and presenting findings
- Conscious listening and storytelling skills
- Ability to collaborate effectively and work as part of a team
- Knowledge of statistics and experience using statistical packages for analysing datasets (R, SPSS, SAS & Python) and visualization tools (Tableau, Power BI) is an added advantage.
- Designation
:

- Trainee in Business Intelligence and Data Science
- Location
:

- Egypt
- Job Type
:

- 3-month Training Program
- Department
:

- Analytics
- Qualification
:

- Preferably a Bachelors Degree or a Masters Degree in Science, Engineering, Statistics or Mathematics
- Joining Date
:

- Immediate
- Experience
:

- Freshers

:

**Introduction**
N/A
**Your role and responsibilities**
? Assist in data preprocessing, cleaning, and exploration.
? Implement machine learning algorithms and techniques.
? Experiment with different models and parameters to optimize performance.
? Collaborate with data scientists to understand and translate business requirements into technical solutions.
? Develop and maintain machine learning pipelines.
? Stay updated with the latest advancements in machine learning.
**Required technical and professional expertise**
? Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
? Strong programming skills in Python and proficiency in relevant libraries (NumPy, Pandas, Scikit-learn).
? Understanding of machine learning concepts and algorithms (linear regression, logistic regression, decision trees, random forests, etc.).
? Ability to work with large datasets and perform data analysis.
? Strong problem-solving and analytical skills.
? Excellent communication and teamwork abilities.
? A passion for learning and exploring new technologies.
**Preferred technical and professional experience**
? Experience with deep learning frameworks (TensorFlow, PyTorch).
? Knowledge of cloud platforms (AWS, Azure).
? Exposure to big data technologies (Hadoop, Spark).
? Participation in machine learning competitions or projects.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

The Role Job description

You are about to apply for a job in a certified Top Employer 2025!
Ready to be part of one of the market leaders in Egypt? Apply now!
Raya Holding for Financial Investments is hiring Financial Analyst (Machine Learning Project) 6-month contract.

What will you do?

• Design and implement machine learning models to enhance budget forecasting, scenario analysis, and cost predictions.
• Automate key budgeting processes, including data consolidation, variance analysis, and commentary generation.
• Develop dynamic reporting dashboards and tools to support real-time financial performance monitoring.
• Integrate ML models into financial systems (e.g., Oracle EPM, SAP BPC, Power BI) for seamless data flow and user access.
• Streamline financial reporting by building ETL pipelines that extract, clean, and transform financial data automatically.
• Collaborate with FP&A, accounting, and IT teams to identify opportunities for automation and improve process efficiency.
• Maintain detailed documentation of models, assumptions, and system integrations for audit and stakeholder review.
• Monitor model performance and continuously improve accuracy, scalability, and reliability.

Skills What will you need?

• Bachelor's or master's degree in data science, finance, computer science, statistics, or a related discipline.
• Proficient in Python (pandas, NumPy, scikit-learn) and SQL; experience with Power BI or Tableau preferred.
• Solid understanding of budgeting cycles, financial statements, and variance analysis.
• Experience with enterprise performance management platforms (e.g., Oracle EPM).
• Strong knowledge of ML algorithms (regression, classification, time-series, anomaly detection).
• Familiarity with automation frameworks and APIs.
• Ability to communicate complex technical solutions to non-technical finance stakeholders.

Preferred skills:

• Experience building automation tools for finance teams.
• Working knowledge of financial KPIs, forecasting models, and reporting standards.
• Exposure to cloud platforms for data storage and ML model deployment.

Key deliverables:

• Automated budgeting and reporting workflows reducing manual effort and cycle time.
• Machine learning models embedded in financial planning processes with proven forecast accuracy improvement.
• Interactive, real-time dashboards that enhance business unit performance tracking and decision-making.

What is unique about Raya?

• Are you an eager learner? Raya believes in its employees, so we aim to continuously provide learning & development plans for all of our employees to ensure their personal and career development.
• Are you looking for career progression? Raya is an entity where you can grow whether horizontally or vertically as we offer internal transfer opportunities.
• Are you looking for a rewarding environment? Raya's top achievers are awarded annually with an international 5 days trip.
• Are you looking for an opportunity to give back to the community? Raya encourages their employees to give back to the community through different ongoing CSR programs and initiatives.
• Are you a foodie? Exclusive discounts for Raya employees at Raya's restaurants.

Requirements About the company Raya Holding for Financial Investments, a leading investment conglomerate, established in 1999 in Egypt with a vision to be a market leader and to grow into a solid financial conglomerate with multifaceted operations. Headquarter located in Cairo, Egypt; Raya Holding is managing a diversified investment portfolio of 13 lines of business in the various industries of e-payment, information technology, contact center, smart buildings, consumer electronics, food and beverage, land transport, PET remanufacturing, automotive, FMCG and home appliances Raya Holding is listed in the Egyptian Exchange (EGX) since 2005, while the company empowers more than 12,000 proficient employees, accommodating to a wide international customer base from offices based in Egypt, Saudi Arabia, UAE, Qatar, Poland, Nigeria and Tanzania. Raya's Lines of Business include; Aman for e-payments, Aman for Financial Services, BariQ, Ostool, Raya Contact Center, Raya Foods, Raya Information Technology, Raya Food Trading, Raya Restaurants, Raya Smart Buildings, Raya Trade, Raya Auto and Haier - Raya Electric.

**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:**
1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
2. Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
3. Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
4. Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
5. 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.
6. Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
7. 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.
**Qualifications:**
+ Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
+ Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
+ Strong knowledge of machine learning frameworks and libraries.
+ Expertise in data preprocessing, feature engineering, and model selection.
+ Familiarity with large language models and AI agent design.
+ Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
+ Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
+ Experience with vectorized databases and unstructured search engines is a plus.
+ A Master's degree in computer science, Statistics, Data Science, or a related field is a plus.
+ Publications or contributions to open-source projects are a plus.
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 & Al Tamween)
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

**Job Overview**:
Invitro Capital is seeking a highly skilled and motivated Machine Learning Engineer to join our team in Egypt. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge machine learning models and algorithms to solve complex business problems. You will work closely with our Data Science and Engineering teams to identify opportunities for leveraging data-driven insights and develop scalable and efficient solutions. This is a unique opportunity to contribute to the success of our portfolio companies and shape the future of AI-driven innovation.

**Machine Learning Engineer, Responsibilities**:

- Design, develop, and deploy machine learning models and algorithms that drive actionable insights and business value.
- Collaborate with cross-functional teams to understand business requirements and develop innovative solutions.
- Optimize and fine-tune machine learning models for performance, accuracy, and scalability.
- Build efficient data pipelines for data preprocessing, feature engineering, and model training.
- Stay current with the latest trends and advancements in machine learning and AI technologies.

**Requirements**:
**Minimum Qualifications**:

- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Machine Learning Engineer or similar role.
- Strong programming skills in Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of machine learning algorithms and techniques.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Proficiency in data manipulation and analysis using SQL and Pandas.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.

**Preferred Qualifications**:

- Master's degree or higher in Computer Science, Engineering, or a related field.
- Experience with distributed computing frameworks (e.g., Spark).
- Understanding of natural language processing (NLP) and computer vision techniques.
- Knowledge of cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform).
- Experience with model deployment and serving using containerization technologies (e.g., Docker, Kubernetes).

**Benefits**

**Why Join Invitro Capital?**
- **Work on cutting-edge AI and B2B technologies**:We are at the forefront of AI and B2B innovation. Our employees have the opportunity to work on the latest and greatest technologies, and to make a real impact on the world.
- **Help build and grow successful startups**: We are committed to helping our portfolio companies succeed. Our employees play a vital role in building and growing these companies.
- **Work with some of the best minds in the industry**: You will be part of a team of highly motivated and talented people who are passionate about making a difference. You will have the chance to learn from some of the best minds in the industry.
- **Supportive and collaborative work environment**: We believe in creating a supportive and collaborative work environment where our employees can thrive.
- **Competitive salary and benefits package**:We offer a competitive salary and benefits package.