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junior academic coordinator

The German University in Cairo

<div>
 
 
 Junior Academic Coordinator
 
 
 
 
 
 
 
 Vacancy for: Academic Performance Department
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Providing Applicants with full details about the offered programs.
 </li>
 <li>
 Assign courses, academic staff member, students&rsquo; groups, to the IT system
 </li>
 <li>
 Administrate Admission Test, Aptitude Test &amp; Applicants Interviews.
 </li>
 <li>
 Compile and Arrange Admission Files.
 </li>
 <li>
 Interpret and notify students regarding general information about the Programs.
 </li>
 <li>
 Notify students&rsquo; complaints and problems with the concerned parties and follow up on feedback.
 </li>
 <li>
 Following up on Students submission deadlines &ldquo; Thesis proposals and Thesis submission&rdquo;
 </li>
 <li>
 Following up with the Lecturers regarding the examination process &ldquo; peer review submission, barcodes delivery and corrected exams submission&rdquo;
 </li>
 <li>
 Assist the students in resetting their computer accounts password.
 </li>
 <li>
 Arrange for Thesis Defenses and Seminars with the students and their Supervisors.
 </li>
 <li>
 Compile all certificates, transcripts and letters issuance requests.
 </li>
 <li>
 Arrange for events in cooperation with the communication and external relations department.
 </li>
 <li>
 Attend various Faculty meetings; taking minutes and briefing the academics.
 </li>
 <li>
 Compile study-related faculty purchasing lists, e.g; books list.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 
 
 
 <ul>
 <li>
 Fluent English Language skill, German Language is an asset.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Effective administrative skills, including the ability to organize and prioritize own workload in order to meet tight deadlines, whilst maintaining a high degree of accuracy.
 </li>
 <li>
 Proactive, take initiative and able to make decisions.
 </li>
 <li>
 Creative within the scope of work &amp; very resourceful in problem-solving.
 </li>
 <li>
 Proficiency in or knowledge of using a variety of computer software applications (excel, word, PowerPoint, etc.)
 </li>
 <li>
 A hard worker that is capable of multitasking and dealing with work under pressure.
 </li>
 <li>
 Able to work and interact efficiently with all levels of colleagues.
 </li>
 </ul>
 
 
 
 
 For further information, please contact the Human Resources Department
 
 (hr@guc.edu.eg)
 
 .
 
</div>

Junior Academic Coordinator

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Junior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Data Science, Statistics, Mathematics, or Engineering
 
 .
 </li>
 <li>
 0 to 2 years of experience required.
 </li>
 <li>
 Internship or academic projects showcasing practical data analysis or ML work.
 </li>
 <li>
 Optional certifications (Google Data Analytics, IBM Data Science, etc.).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 
 Programming:
 
 Solid skills in
 
 Python
 
 (Pandas, NumPy, Scikit-learn) and
 
 SQL
 
 .
 </li>
 <li>
 
 Technical skills:
 
 </li>
 <li>
 Cleans and prepares structured datasets using Pandas or Power Query.
 </li>
 <li>
 Can visualize insights with
 
 Matplotlib, Seaborn
 
 .
 </li>
 <li>
 Understands and implements
 
 Machine learning models.
 
 </li>
 <li>
 Basic understanding of
 
 text preprocessing
 
 (tokenization, stop words, TF-IDF).
 </li>
 <li>
 Exposure to
 
 pretrained models via Hugging Face
 
 for small tasks (e.g., sentiment analysis).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Curious mindset and willingness to learn from mentors.
 </li>
 <li>
 Strong analytical thinking and communication of results.
 </li>
 <li>
 Works effectively under supervision within cross-functional teams.
 </li>
 </ul>
</div>

Junior Data Scientist

Finaira

<div>
 The Junior Software Engineer I will contribute to the development, testing, and deployment of high-quality software solutions under the guidance of senior team members. This role involves learning and applying software development principles and technologies within the context of AI and digital FinTech initiatives.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and implementing software solutions
 </li>
 <li>
 Assist in API development for integrating ML models
 </li>
 <li>
 Write clean, efficient, and well-documented code under supervision
 </li>
 <li>
 Participate in code reviews to learn and ensure quality
 </li>
 <li>
 Learn and apply basic software design patterns and best practices
 </li>
 <li>
 Write and execute unit tests and assist with other testing
 </li>
 <li>
 Debug and resolve software defects with guidance
 </li>
 <li>
 Assist in deploying software applications to various environments
 </li>
 <li>
 Collaborate closely with the team and communicate technical concepts clearly
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in computer science, Software Engineer 1ing, or a related field
 </li>
 <li>
 Experience: 0-2 years of experience, including internships or academic projects. Experience in the financial services industry is a plus
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript)
 </li>
 <li>
 Basic knowledge of software development frameworks (e.g., Spring, Django, React)
 </li>
 <li>
 Basic experience with databases (SQL)
 </li>
 <li>
 Understanding basic software design principles
 </li>
 <li>
 Familiarity with version control systems (e.g., Git)
 </li>
 <li>
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Developing problem-solving and analytical skills
 </li>
 <li>
 Ability to work independently and as part of a team
 </li>
 <li>
 Developing communication and collaboration skills
 </li>
 <li>
 Attention to detail and a willingness to learn
 </li>
 <li>
 Customer-centric approach to understanding needs
 </li>
 <li>
 Team player
 </li>
 <li>
 Developing a disciplined work ethic
 </li>
 <li>
 Good command of English language, both verbal and written
 </li>
 <li>
 Self-learner with a positive attitude
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Software Engineer I

<div>
 The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector. This role requires deep expertise in data science methodologies, advanced proficiency in relevant tools and technologies, and the ability to independently translate complex business needs into scalable and impactful analytical solutions. The Senior Data Scientist will mentor junior team members, contribute to technical strategy, and communicate findings to executive stakeholders.
 
 
 Focus: Project leadership, strategic analysis, and advanced model development.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Lead end-to-end data science projects from conception to deployment
 </li>
 <li>
 Develop and implement advanced machine learning models and algorithms in banking applications
 </li>
 <li>
 Conduct strategic data analysis to inform business decisions and identify new opportunities
 </li>
 <li>
 Communicate complex technical findings to senior management and stakeholders
 </li>
 <li>
 Drive innovation in data science methodologies and tools
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <li>
 Education: Bachelor's degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master's or Ph.D. preferred
 </li>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact
 </li>
 <li>
 Extensive experience in the financial services industry, with a deep understanding of financial data and business processes
 </li>
 <li>
 Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results
 </li>
 <li>
 Technical skills:
 </li>
 <li>
 Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks
 </li>
 <li>
 Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries)
 </li>
 <li>
 Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques
 </li>
 <li>
 Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
 </li>
 <li>
 Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts
 </li>
 <li>
 Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases)
 </li>
 <li>
 Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards
 </li>
 <li>
 Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies
 </li>
 <li>
 Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
 </li>
 <li>
 Strong strategic thinking and a disruptive mindset to develop innovative data solutions
 </li>
 <li>
 Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives
 </li>
 <li>
 Strong customer-centric approach with a focus on delivering tangible business value
 </li>
 <li>
 Demonstrated leadership qualities and the ability to mentor junior team members effectively
 </li>
 <li>
 Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments
 </li>
 <li>
 Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds
 </li>
 <li>
 Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively
 </li>
 <li>
 Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Senior Data Scientist

Canonical

<div>
 As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
 
 
 We have a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with a carefully selected hiring cohort to ensure we have exceptional judgement with a hiring model that supports the selection of world class talent, regardless of location, culture or background. We drive initiatives, build automations and offer an expert viewpoint on assessing talent.
 
 
 We are looking to advance our graduate hiring strategy to ensure we can reach and assess world class junior talent. The role will focus on building strong partnerships with top ranked universities across the globe. The suitable individual will bring experience of leading graduate hiring on a regional or global scale within the technology industry. You will possess a strong academic track record with the ability to analyse data, assess performance outcomes and build dashboard to monitor your outcomes. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
 
 
 Location: This is a remote position based in the EMEA region
 
 
 What your day will look like
 
 
 <ul>
 <li>
 Build effective partnerships with leading academic institutions to raise awareness of our graduate opportunities.
 </li>
 <li>
 Create a highly effective proposition to inspire top talent to apply to Canonical.
 </li>
 <li>
 Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
 </li>
 <li>
 Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
 </li>
 <li>
 Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
 </li>
 <li>
 Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
 </li>
 <li>
 Consider our employer brand and how our interactions with a candidate impacts their experience.
 </li>
 <li>
 Review and streamline hiring processes and tools to drive continuous improvement.
 </li>
 <li>
 Work with external third parties and platforms to ensure we maximise our return on investment.
 </li>
 <li>
 Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 An exceptional academic background from both high school and university, with a Bachelors or Masters degree in a Psychology or People based subject.
 </li>
 <li>
 Experience of hiring talent in the technology industry, with an informed view point on graduate hiring essential.
 </li>
 <li>
 A highly data drive mindset with the ability to create measurable outcomes, using SQL.
 </li>
 <li>
 Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
 </li>
 <li>
 Exposure/appreciation of psychometric assessments preferable, including interpretation.
 </li>
 <li>
 Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
 </li>
 <li>
 Experience of the following tools advantageous: Greenhouse, LinkedIn, Superset, Thomas International/DISC assessments.
 </li>
 <li>
 A high level of personal organisation and self drive to work remotely and be effective.
 </li>
 <li>
 Willingness to travel to company events 2-4 times a year, for up to two weeks each.
 
 
 </li>
 </ul>
 What we offer you
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, including lounge access, for company travel
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Talent Scientist - Graduate Lead

ELSEWEDY ELECTRIC T&D

<div>
 
 
 JOB DETAILS
 
 
 
 
 
 Job Title:
 
 
 Senior Design Engineer - Electrical/ Infra
 
 
 
 
 Sector/Business Line:
 
 
 ElSewedy T&amp;D.
 
 
 
 
 Job Location:
 
 
 Cairo, Egypt
 
 
 
 
 Accountabilities:
 
 
 
 <ul>
 <li>
 Study the project documents, including drawings, specifications, BOQ (Bill of Quantity), RFI (Request for information), correspondence, etc., to take into consideration all the project details during execution.
 </li>
 <li>
 Follow up on the material submittals and communicate with the consultant to obtain the approval.
 </li>
 <li>
 Conduct an estimated quantity survey to determine the quantity of material that needs to be purchased or procured
 </li>
 <li>
 Delegate tasks to the subordinates and provide them with the needed support to ensure high levels of performance
 </li>
 <li>
 Prepare RFIs and send them to the project consultant to obtain missing information and resolve all conflicts
 </li>
 <li>
 Communicate with concerned departments to prepare the general project plan.
 </li>
 <li>
 Attending FATs
 </li>
 <li>
 Contacting and following up with suppliers
 </li>
 <li>
 Follow up with the subcontractors on all issues related to engineering.
 </li>
 <li>
 Preparing preliminary base design drawings.
 </li>
 <li>
 Review of Junior &amp; design engineer works.
 </li>
 <li>
 Guiding Junior &amp; design engineers
 </li>
 <li>
 Participate in the evaluation of Junior &amp; design engineers
 </li>
 <li>
 Technical support at the site
 </li>
 <li>
 Provide technical support for the Junior &amp; design engineers
 </li>
 <li>
 Attending meetings with other departments and suppliers
 </li>
 <li>
 Issue Manufacturing Release
 </li>
 <li>
 Finalize Purchase Request &amp; Purchase order
 </li>
 <li>
 Following up and complying schedule and agreed milestones
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 Education: BSc in Electrical Engineering.
 
 
 Required technical-related training: AutoCAD,ETAP &amp; Revit.
 
 
 Years of Experience: 5-7 years or more of relevant work experience
 
 
 Language: Fluent English &amp; Arabic (French will be plus).
 
 
 Computer skills: AutoCAD &amp; PVsyst &amp; Sketch up &amp; Microsoft Office
 
 
 
</div>

Senior Design Engineer - Electrical/ Infra

Siemens EDA (Siemens Digital Industries Software)

<div>
 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
 
 
 We are looking for passionate Data Scientists who will be a member of our technology and innovation team responsible for new technology development and innovation projects within our organization.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Research, create and implement advanced statistical models and cutting-edge machine learning algorithms on fast-moving structured and unstructured data to support decision making.
 </li>
 <li>
 You need to Investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models.
 </li>
 <li>
 Collaborate with engineering teams to seamlessly transition AI innovations into scalable and reliable operational solutions.
 </li>
 <li>
 Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, visualizations and presentations to gain alignment and drive business actions.
 </li>
 <li>
 You have to collaborate with Software Engineers to ensure the smooth integration of data science products into global offerings.
 </li>
 <li>
 Have a very strong product mindset and proactively ideate, design, improve and automate relevant data products.
 </li>
 <li>
 Guide and mentor junior data scientists and rest of the team on modeling process and algorithm and foster a collaborative and innovative work environment.
 </li>
 <li>
 Stay up to date with the latest advancements in LLM, NLP, deep learning, and machine learning algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 PhD or master&rsquo;s degree in computer science, statistics, data science or other discipline (e.g., electrical engineering, economics, psychology) that exposes scientific methods of research and analysis.
 </li>
 <li>
 Experience in a professional context, preferably in a global setup with distributed virtual teams and environments.
 </li>
 <li>
 Should have Strong data fundamentals and demonstrated ability to organize, clean, schematize and process data, as well as good understanding of how to use data science methodologies to solve complex problems.
 </li>
 <li>
 Expertise in large deep-learning model fine-tuning and deployment.
 </li>
 <li>
 Experience in working with generative/multi-modal/multi-task models will be a plus.
 </li>
 <li>
 Solid programming skills of Python and familiar with challenges working with large data.
 </li>
 <li>
 Strong academic and publication record is desired.
 </li>
 <li>
 Proficiency in English
 
 
 </li>
 </ul>
 
 Working at Siemens Software
 
 
 
 
 Why us?
 
 
 
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 Siemens Industry Software is an equal opportunities employer and does not discriminate unlawfully on the grounds of age, disability, gender assignment, marriage, and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or trade union membership.
 
 
 
 Transform the everyday
 
 
 
</div>

Data Scientist

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