data scientist

Finaira

<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>
 
 
 
 
 
 Education
 
 : Bachelor&rsquo;s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master&rsquo;s or Ph.D. preferred.
 
 
 
 
 
 
 Experience
 
 :
 
 <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>
 </ul>
 
 
 
 
 
 Technical skills:
 
 
 <ul>
 <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

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms
 </li>
 <li>
 Provide technical leadership and guidance to the data science team
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 
 
 Education:
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
 </li>
 <li>
 Proven experience in leading and mentoring data science teams.
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions).
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </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>

Principal 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 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>
 3-5 years 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.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 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

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

Arrow Electronics

<div>
 
 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
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 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.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 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 &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Deloitte

<div>
 
 Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 184
 
 
 
 Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal, Strategic Risk &amp; Transactions Advisory and Technology &amp; Transformation and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 As a Senior AI/ML Engineer in our team, you will:
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionized solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Ensure high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assist in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 
 
 Client Engagement:
 
 
 
 
 
 Your Tasks would include
 
 :
 
 
 
 <ul>
 <li>
 Engage with clients to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 
 
 
 Data Analysis And Pre-processing:
 
 
 
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 
 
 
 Algorithm Development:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experience with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 
 
 
 Model Training And Evaluation:
 
 
 
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 
 
 
 Data Visualization:
 
 
 
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Work with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau and Power BI.
 
 
 </li>
 </ul>
 
 
 Connect To Your Skills And Professional Experience.
 
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 
 
 Essentials:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer engineering or equivalent
 </li>
 <li>
 3-7 years of experience in Data Science and AI/ML
 </li>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 
 Desirables
 
 
 :
 
 
 
 
 <ul>
 <li>
 Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 As a Senior AI/ML Engineer in our team, you will:
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionized solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Ensure high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assist in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 
 Desirables
 
 
 :
 
 
 
 
 <ul>
 <li>
 Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 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!
 
 
 In this role, you will work closely with business stakeholders, software engineering teams, SAP integration experts, and data engineering teams to design and deliver trusted datasets and analytical solutions that support operational excellence, decision-making, and innovation across the company.
 
 
 We&rsquo;re looking for someone who enjoys understanding complex business processes, translating them into meaningful data products, and helping shape the future of our analytics landscape.
 
 
 If you are curious, collaborative, and passionate about turning data into business value, we&rsquo;d love to hear from you.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 Partner with business stakeholders and subject matter experts to understand analytical needs, identify opportunities, and define requirements for data products and analytical solutions.
 </li>
 <li>
 Translate business requirements into scalable data models, curated datasets, and actionable insights that enable data-driven decision-making.
 </li>
 <li>
 Design, develop, and maintain data products by integrating data from operational systems, backend services, SAP solutions, and other internal and external data sources.
 </li>
 <li>
 Collaborate with software engineering and data engineering teams to ensure reliable integration of data into sonnen&rsquo;s analytics platform and data ecosystem.
 </li>
 <li>
 Contribute to the evolution of our data architecture, data governance, and analytics strategy, helping establish sustainable and scalable data products.
 </li>
 <li>
 Develop and maintain data transformation logic, analytical datasets, and semantic models that support reporting, analytics, and advanced use cases.
 </li>
 <li>
 Implement data quality controls, monitoring mechanisms, and validation processes to ensure data accuracy, consistency, and trustworthiness.
 </li>
 <li>
 Drive continuous improvement of our data products and analytics capabilities by identifying gaps, opportunities, and emerging technologies.
 </li>
 <li>
 Ensure high standards for documentation, maintainability, and software engineering practices using version control and collaborative development workflows.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
 </li>
 <li>
 3+ years of professional experience in Data Engineering, Analytics Engineering, Data Analytics, Data Architecture, or a similar role.
 </li>
 <li>
 Proven ability to work effectively with both business and technical stakeholders and translate business requirements into technical solutions.
 </li>
 <li>
 Experience designing and implementing data models, curated datasets, and analytics-ready data structures.
 </li>
 <li>
 Understanding of modern data architecture concepts, data warehousing, and lakehouse platforms (e.g., AWS Redshift, Databricks).
 </li>
 <li>
 Experience working with structured and unstructured data from multiple operational systems and APIs.
 </li>
 <li>
 Strong knowledge of Python, SQL, REST APIs, and data transformation frameworks.
 </li>
 <li>
 Familiarity with data quality management, governance principles, and monitoring practices.
 </li>
 <li>
 Ability to contribute to strategic discussions around data architecture, data products, and analytics enablement.
 </li>
 <li>
 Experience in cloud-based analytics environments is highly desirable.
 </li>
 <li>
 Fluency in English; German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Computer Science, Cloud, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

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