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senior data scientist

mylo

<div>
 mylo, the consumer finance arm of B.TECH, is revolutionizing the financial landscape, seeks a dynamic, results-oriented Senior Data Scientist. The ideal candidate will play a pivotal role in driving data-driven decisions and shaping our future. You'll work closely with cross-functional teams to unlock the power of data, build predictive models, and deliver actionable insights.
 
 
 We are looking for an exceptionally talented Senior Reconciliation &amp; Settlement Specialist to enhance reconciliation and settlement procedures across a wide range of financial partners, such as banks, payment processors, and internal accounts. This position demands extensive knowledge of financial operations, controls, and risk management to guarantee the precision, integrity, and efficiency of all financial transactions.
 
 
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 Oversee and execute end-to-end reconciliation of transactions across payment gateways, digital wallets, and banking partners
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 Review and validate daily settlements using payment scheme files and internal records
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 Ensure compliance with settlement regulations and support internal and external audits
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 Develop and maintain comprehensive financial reports to enhance visibility and support decision-making
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 Monitor account balances and fund allocations to ensure smooth payment operations and minimize delays and costs
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 Identify, investigate, and resolve complex discrepancies to maintain financial data integrity
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 Collaborate closely with Finance, Treasury, and Customer Support teams to resolve payment-related issues and escalations
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 Coordinate with the Chargeback team to efficiently manage dispute cases
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 Establish and enhance risk controls to detect and prevent discrepancies or fraud
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 Design and implement frameworks to improve reconciliation and settlement accuracy and efficiency for merchants and financial partners
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 Liaise with banks to resolve outstanding issues and respond to inquiries
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 Communicate with application support teams to report issues and suggest process enhancements
 
 
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 Requirements
 
 
 
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 Bachelor's degree in Business Administration, Finance, or a related field
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 Minimum 5 years' experience in reconciliation, settlement, or financial operations within fintech, banking, or digital payments
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 Strong understanding of banking operations, payment schemes, and settlement processes
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 Proven expertise in payment processing, digital wallets, and financial reconciliations
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 Proficient in Excel, SQL, or data analytics tools for managing large financial datasets
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 Experience with ERP systems, reconciliation automation tools, and financial risk management
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 Demonstrated ability to enhance financial controls and implement best practices
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 Excellent communication and problem-solving skills; able to work effectively in cross-functional teams
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 Ability to thrive in a fast-paced, dynamic environment
 
 
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 Benefits
 
 
 
 Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
 
 
 Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
 
 
 Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community
 
 
 Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
 
 
 Equipment: From "Day 1" you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.
</div>

Senior Reconciliation & Settlement Analyst

<div>
 
 
 
 Company Overview
 
 :
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
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 Excellence
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 Responsibility
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 Empowerment
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 Connectivity
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 Courage
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 J
 
 
 Job Purpose:
 
 
 
 
 
 
 
 The role of a Data Scientist at Dar will be to extract actionable insights from databases and large, complex datasets to improve design decisions, optimize processes, and enhance project performance. They leverage statistical analysis, machine learning, and predictive modeling and analysis to support data-driven strategies across the project lifecycle.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
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 Collect, clean, and analyze structured and unstructured data from design, construction, and operational sources.
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 Extract features from multi-formats data sources
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 Develop predictive models for project scheduling, cost estimation, risk assessment, and resource optimization.
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 Visualize data and communicate insights through dashboards, reports, and presentations.
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 Collaborate with engineers, architects, and project managers to translate business needs into data-driven solutions.
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 Evaluate and implement advanced analytics techniques such as machine learning, NLP, and time-series forecasting.
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 Ensure data quality, governance, and compliance within AEC data systems.
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 Research and apply emerging data science tools and methods to AEC industry.
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 Values Alignment
 
 
 
 (Expected behaviors that reflect Dar&rsquo;s values, tailored to the level and responsibilities of the role.)
 
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 Demonstrates analytical thinking, independence in execution, professionalism, transparency, communication, and accountability in delivering quality outcomes while fostering collaboration across teams.
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 Requirements:
 
 
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s in Data Science, Statistics, Computer Science, or a related field.
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 Strong proficiency in Python and SQL and experience with data analysis libraries (Pandas, NumPy, Scikit-learn), and data visualization tools (Power BI),
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 Experience using LLMs for multi-format documents processing
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 Experience working with RDBMS (e.g. PostgreSQL, Microsoft SQL Server) and cloud platforms (AWS, Azure, or GCP).
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 Experience working with machine learning algorithms, statistical modeling
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 Experience in data pipeline development is a plus.
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 Excellent analytical thinking, problem-solving, and communication skills.
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 Familiarity with AEC data formats and tools (e.g., BIM) is a plus.
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 Kind Note
 
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 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
</div>

Data Scientist

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
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 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
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 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
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 Your Impact
 
 
 
 As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
 
 
 Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
 
 
 You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
 
 
 You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale.
 
 
 
 Your Qualifications and Skills
 
 
 
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 Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence
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 Availability for a full-time internship of 12 weeks
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 Strong interest in applying machine learning and statistical analysis to solve real-world problems
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 Foundational experience in Python (preferred) or R for data analysis and model prototyping
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 Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
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 Basic understanding of data wrangling, visualization, and exploratory analysis
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 Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent
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 Good analytical and problem-solving skills; ability to structure tasks and manage time effectively
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</div>

Data Scientist Intern - QuantumBlack, AI by McKinsey

<div>
 
 mylo
 
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you're purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt's leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
 
 
 The Role We are looking for a Staff Data Scientist to lead the technical strategy for our decisioning engines. You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines&mdash;from Growth &amp; Pricing to Underwriting &amp; Collections. You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
 
 
 
 Responsibilities
 
 
 
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 Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently
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 MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference
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 Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
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 Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services
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 Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
 
 
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 Requirements
 
 
 
 Requirements
 
 
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 Experience: 7+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
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 ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
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 Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
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 Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
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 Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
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</div>

Staff Data Scientist

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and initiating new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based one of our Middle East offices as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
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 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
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 5 years of professional experience in programming; experience applied to business problems is a plus
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 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
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 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
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 Demonstrated aptitude for analytics; statistical knowledge is a plus
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 Proven record of leadership in a work setting and/or through extracurricular activities
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 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
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 Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus
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</div>

Data Scientist II - QuantumBlack, AI by McKinsey

Finaira

<div>
 The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
 
 
 The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
 
 
 
 The difference you will make:
 
 
 
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 Project contributions, model development &amp; refinement, and mentorship
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 Lead specific modules or components within larger data science projects
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 Develop and optimize existing machine learning models for improved performance
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 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
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 Mentor junior data scientists on technical best practices
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 Collaborate with cross-functional teams to integrate models into business processes
 
 
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 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 Bachelor's degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
 
 
 
 Experience:
 
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills:
 
 o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
 
 
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 
 
 Basic experience with databases (SQL).
 
 
 Understanding basic software design principles.
 
 
 Familiarity with version control systems (e.g., Git).
 
 
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 
 
 <li>
 
 
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 Soft Skills:
 
 
 
 Developing problem-solving and analytical skills.
 
 
 Ability to work independently and as part of a team.
 
 
 Developing communication and collaboration skills.
 
 
 Attention to detail and a willingness to learn.
 
 
 Customer-centric approach to understanding needs.
 
 
 Team player.
 
 
 Developing a disciplined work ethic.
 
 
 Good command of English language, both verbal and written.
 
 
 Self-learner with a positive attitude
</div>

Data Scientist II

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

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