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sustainability data analyst

data engineer

senior 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

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

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

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>

Money Fellows

<div>
 
 Are You Ready to Take the Lead in Data-Driven Insights?
 
 
 
 At Money Fellows, we're redefining the FinTech landscape, and we need a passionate and innovative
 
 Senior Business Intelligence Engineer
 
 to join our enthusiastic team!
 
 
 In this exciting role, you will:
 
 
 <ul>
 <li>
 Transform Data into Stories: Dive into data analysis to uncover trends and insights that will drive strategic decisions for the company
 </li>
 <li>
 Craft Stunning Dashboards: Design and maintain visually engaging dashboards that empower our stakeholders with the information they need at their fingertips
 </li>
 <li>
 Collaborate Across Departments: Engage with product, marketing, and operations teams to understand their data needs and tailor solutions that amplify their success
 </li>
 <li>
 Build Your Legacy: Play an essential role in shaping our BI practices, influencing key business directions through data storytelling
 
 
 </li>
 </ul>
 
 At Money Fellows, we celebrate creativity and initiative, and we can't wait to see what you will bring to the table!
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 3 to 5 years of experience in Business Intelligence or Data Analytics with a strong focus on BI tools
 </li>
 <li>
 Bachelor's degree in Computer Science, Mathematics, or a related field; Master's degree is a plus!
 </li>
 <li>
 Expertise in BI tools such as Power BI with DAX skills
 </li>
 <li>
 Strong SQL skills and proficiency in data modeling
 </li>
 <li>
 Experience in leading BI projects and working collaboratively with various stakeholders
 </li>
 <li>
 Excellent communication skills, with the ability to translate complex data into actionable insights
 </li>
 <li>
 Proficiency in programming languages like Python or R is a plus
 </li>
 <li>
 A growth mindset with a passion for continuous learning and improvement
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We care about your well-being from the start, whether you're a candidate or an employee as we embrace the concept of Psychological Safety.
 
 
 <ul>
 <li>
 Mental Well-being: We prioritize your mental health through open-door policies, skip-level meetings, and thoughtfully designed workspaces where you feel heard and valued
 </li>
 <li>
 Physical Health: Stay active and healthy with our gym allowance, healthy office snacks, and monthly nutritionist consultations.
 </li>
 <li>
 Social Wellness: Stay connected through fun team-building activities, engaging town halls, and collaborative workspaces that spark innovation.
 </li>
 <li>
 Financial Empowerment: Competitive salaries, pension plans, and exclusive employee discounts on our Circles help you achieve financial stability.
 </li>
 <li>
 Growth Opportunities: Take advantage of workshops, mobility programs, and internal transfers to advance your career and thrive with us.
 
 
 </li>
 </ul>
 Join us and grow in a community that supports every aspect of your wellness!
</div>

Senior Data Analytics Engineer

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 573+ Senior data scientist in Cairo this November. Find roles across top companies and apply now to boost your career.

573 senior data scientist jobs IN Cairo

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