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data scientist - quantumblack, ai by mckinsey

marketing data engineer

junior data scientist

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 cross-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>
 0-2 years of experience in data science, machine learning, or a related field.
 </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>
 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

<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>

Protiviti Middle East Member Firm

<div>
 
 
 Job Description &ndash; Senior Data Scientist / AI Engineer (Consulting Role)
 
 
 
 
 
 
 We are looking for a highly experienced Senior Data Scientist / AI Engineer with a proven track record (5+ years) in designing, deploying, and optimizing AI-driven solutions on Microsoft Azure. The candidate must bring deep expertise in MLOps, Responsible AI, and Generative AI, with extensive hands-on experience in building scalable, production-grade AI systems that drive business impact. This is an exciting opportunity to work in a consulting environment, collaborating with industry leaders, supporting pre-sales efforts, and mentoring junior team members while delivering impactful AI solutions across diverse industries. This role is based in Egypt (Cairo), with the expectation of traveling across Middle Eastern client locations (KSA, UAE, Qatar) as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Support clients in ideating &amp; prioritizing various business problems that can be solved using AI solutions
 </li>
 <li>
 AI Solution Development &amp; Deployment - Lead hands-on end-to-end AI/ML projects implementation, ensuring scalability, performance, and business impact.
 </li>
 <li>
 Collaborate closely with cross-functional teams and clients to understand their business objectives, gather relevant data, and design solutions that drive actionable insights.
 </li>
 <li>
 Work closely with clients and stakeholders to understand business challenges and provide AI-driven recommendations.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 <li>
 Stay updated with the latest advancements in AI, Generative AI, and MLOps, incorporating best practices into client projects, and support publishing of thought leadership initiatives
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ol>
 <li>
 
 Education &amp; Experience
 
 </li>
 </ol>
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Must have worked on at least three of the following use cases types &ndash; Natural Language Processing (NLP) , Predictive Modeling &amp; Classification , Time-Series Forecasting , Simulation &amp; Optimization , Computer Vision , Graph Analytics, Recommender Systems, Anomaly Detection
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Proven experience of implementing at least one Generative AI use case
 </li>
 </ul>
 
 
 
 
 
 2.Technical Expertise
 
 
 
 
 
 <ul>
 <li>
 Strong programming skills in Python, R, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 <li>
 Hands-on experience in GenAI Implementation or Agentic AI implementation will be preferred
 </li>
 </ul>
 
 
 
 
 
 3.Preferred Industry Experience
 
 
 
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Oil &amp; Gas, Financial Services, Manufacturing, Healthcare, Real Estate , Tourism , Government/Citizen Services , Mobility , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 4.Consulting &amp; Leadership Skills
 
 
 
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist Senior Consultant

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

Xenon Seven

<div>
 
 About us:
 
 
 
 Where elite tech talent meets world-class opportunities!
 
 
 At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.
 
 
 
 About the Client:
 
 
 
 Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
 
 
 Position Overview
 
 
 Seeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support
 </li>
 <li>
 Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques
 </li>
 <li>
 Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions
 </li>
 <li>
 Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems
 </li>
 <li>
 Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow.
 </li>
 <li>
 Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes.
 </li>
 <li>
 Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction.
 </li>
 <li>
 Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment
 </li>
 <li>
 Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations
 </li>
 <li>
 Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards)
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
 </li>
 <li>
 Senior Data Scientist: 3-5 years of hands-on experience in data science roles, with proven ability to mentor junior team members
 </li>
 <li>
 Fluency in Arabic and English
 
 
 </li>
 </ul>
 
 Skills And Expertise
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset
 </li>
 <li>
 Deep expertise in machine learning algorithms and statistical methods
 </li>
 <li>
 Practical experience with deep learning architectures and techniques
 </li>
 <li>
 Proficient in Python and SQL for data manipulation, analysis, and model development
 </li>
 <li>
 Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras
 </li>
 <li>
 Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting
 </li>
 <li>
 Experience with time series analysis using ARIMA, LSTM, and Prophet
 </li>
 <li>
 Familiarity with clustering techniques like k-means, and Gaussian Mixture Models
 </li>
 <li>
 Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders
 </li>
 <li>
 Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost
 </li>
 <li>
 Strong communication skills to present technical concepts to both technical and non-technical audiences
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams
 </li>
 <li>
 Self-driven, highly organized, and capable of handling multiple projects simultaneously
 </li>
 <li>
 Commitment to continuous learning and staying updated with advancements in data science and AI
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Attractive, market-leading salary package
 </li>
 <li>
 Clear career advancement path with professional development opportunities
 </li>
 <li>
 One-year contract with Xenon7, presenting a significant opportunity for renewal
 </li>
 </ul>
</div>

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Business Intelligence, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 
 Celfocus is a European high-tech system integrator, providing leading edge professional services focused on creating business value through Analytics and Cognitive solutions &ndash; addressing Telecommunications, Financial Services, Retail, Energy &amp; Utilities, Pharmaceutical, and other markets' strategic opportunities.
 
 
 
 
 As a highly specialised engineering company, Celfocus helps clients undergo their innovation path, providing technological solutions to extract value from data and make it actionable.
 
 
 Serving clients in +25 countries, Celfocus delivers solutions that boost customer experience and enhance operational efficiency, via our Cognitive Automation, Data &amp; Analytics and Digital offers.
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Explore 564+ Junior data scientist in Cairo this November. Find roles across top companies and apply now to boost your career.

564 junior data scientist jobs IN Cairo

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