accountant – accounts receivable (junior)

data analyst

data engineer

senior software engineer

data scientist

senior data engineer

senior data scientist

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design and implement Agentic AI solutions and applications.
 </li>
 <li>
 Lead the end-to-end lifecycle of machine learning and data science delivery engagements, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 </li>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 </li>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 </li>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 6-10 years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
 </li>
 <li>
 Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Strong command of Git and collaborative development workflows.
 </li>
 <li>
 Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
 </li>
 <li>
 Fluent in Arabic &amp; English, both spoken and written (German is a plus!)
 </li>
 <li>
 Able to listen to and understand customer needs and articulate them as technical requirements to the team.
 </li>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Strong leadership and team management skills with the ability to inspire and motivate.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a strong growth mindset.
 </li>
 </ul>
</div>

Senior Data Scientist - AI & ML Engineer

Dish'd

<div>
 
 Dish&rsquo;d is the UK&rsquo;s fastest-growing franchisor of virtual food brands. We partner with food operators to help them maximise their kitchen capacity by launching and scaling delivery-only brands across the UK.
 
 
 We&rsquo;re looking for a commercially minded Data Scientist to design and build predictive models that directly shape expansion, pricing, and operational decisions across a fast-growing, multi-brand food platform. This is not a reporting role. This is a modelling role.
 
 
 
 
 
 You will build forecasting systems from scratch, own experimentation frameworks, and influence real commercial strategy &mdash; from new site openings to pricing optimisation and franchise performance.
 
 
 
 
 
 
 The Role
 
 
 
 Forecasting &amp; Predictive Modelling (Core Focus)
 
 
 
 
 
 You will design and deploy predictive models that directly support growth and profitability, including:
 
 
 
 
 <ul>
 <li>
 Sales forecasting models for new site openings, brand placement, and territory expansion
 </li>
 <li>
 Demand forecasting at brand, location, and time-of-day level
 </li>
 <li>
 Pricing optimisation models to simulate revenue and margin impact
 </li>
 <li>
 Churn prediction models to identify at-risk franchise partners
 </li>
 <li>
 Customer lifetime value (CLV) and territory saturation analysis
 </li>
 <li>
 Inventory and cost optimisation modelling
 </li>
 </ul>
 
 You&rsquo;ll continuously refine and retrain models as new data becomes available, ensuring accuracy and commercial relevance over time.
 
 
 
 
 
 Experimentation &amp; Statistical Analysis
 
 
 
 
 
 You will own our experimentation framework, including:
 
 <ul>
 <li>
 Designing A/B and multivariate testing for menus, pricing, and marketing
 </li>
 <li>
 Geo-based experimentation across territories
 </li>
 <li>
 Rigorous statistical evaluation of test results
 </li>
 <li>
 Clear communication of findings with actionable recommendations
 </li>
 </ul>
 
 
 
 
 Automation &amp; Operational Analytics
 
 <ul>
 <li>
 Build automated monitoring and anomaly detection systems
 </li>
 <li>
 Integrate model outputs into dashboards and reporting workflows
 </li>
 <li>
 Support development of data pipelines feeding model inputs
 </li>
 <li>
 Evaluate and recommend AI-powered tools to improve forecasting accuracy
 </li>
 </ul>
 
 
 
 
 Collaboration &amp; Commercial Impact
 
 
 You&rsquo;ll work closely with the Data Lead and Data Engineer to ensure models are built on clean, reliable warehouse data. You&rsquo;ll also partner with Operations, Marketing, and Finance to translate business challenges into modelling opportunities &mdash; and communicate complex outputs in a clear, compelling way.
 
 
 Your work will feed directly into commercial strategy and board-level reporting.
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 Essential
 
 
 <ul>
 <li>
 3&ndash;5 years&rsquo; hands-on experience in applied data science or predictive analytics
 </li>
 <li>
 Proven experience building forecasting models from scratch in a commercial environment
 </li>
 <li>
 Strong Python skills (pandas, NumPy, scikit-learn, statsmodels, Prophet/NeuralProphet or similar)
 </li>
 <li>
 Deep experience in time series forecasting (ARIMA, SARIMA, Prophet, exponential smoothing, gradient boosting approaches)
 </li>
 <li>
 Experience building regression, classification, and clustering models
 </li>
 <li>
 Strong statistical foundation (hypothesis testing, A/B testing, confidence intervals, causal inference)
 </li>
 <li>
 Solid SQL skills
 </li>
 <li>
 Experience taking models from prototype to production (validation, monitoring, iteration)
 </li>
 <li>
 Excellent communication skills &mdash; able to translate complex outputs for non-technical stakeholders
 </li>
 <li>
 Fluency in spoken and written English (IELTS Level 8 / Cambridge C2 equivalent)
 </li>
 <li>
 Highly organised, detail-oriented, and self-motivated
 </li>
 </ul>
 
 Desirable
 
 <ul>
 <li>
 Experience with Power BI or similar BI tools
 </li>
 <li>
 Familiarity with workflow automation tools (Airflow, n8n, etc.)
 </li>
 <li>
 Cloud deployment experience (Azure, GCP, AWS)
 </li>
 <li>
 NLP / sentiment analysis experience
 </li>
 <li>
 Background in food delivery, QSR, logistics, or other fast-moving industries
 </li>
 <li>
 Google Apps Script / Sheets automation
 </li>
 <li>
 Git and collaborative development workflows
 </li>
 </ul>
 
 Why Join Us?
 
 <ul>
 <li>
 High commercial impact &mdash; your models will shape real expansion decisions
 </li>
 <li>
 Direct exposure to strategic planning and senior leadership
 </li>
 <li>
 Opportunity to build forecasting capability from the ground up
 </li>
 <li>
 Clear pathway to Lead Data Scientist as the team scales
 </li>
 <li>
 Fast-paced, high-growth environment where data drives decisions
 </li>
 </ul>
 
 
</div>

Applied 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 actively seeking dedicated
 
 Collections Officers
 
 to become valuable members of our team. In this pivotal role, you will play a crucial part in assisting our customers as they navigate the process of managing their outstanding payments. If you find fulfilment in a dynamic and fast-paced environment and possess exceptional negotiation skills coupled with a strong sense of empathy, we warmly encourage you to apply and join us on this journey!
 
 
 As a Collections Officer, you will be responsible for:
 
 
 <ul>
 <li>
 Communicating effectively with customers to follow up on due and overdue installments
 </li>
 <li>
 Encouraging customers to make payments and resolve outstanding balances
 </li>
 <li>
 Conducting field visits to customer homes or workplaces as needed to facilitate collections
 </li>
 <li>
 Negotiating payment plans and solutions that benefit both the customer and the company
 </li>
 <li>
 Maintaining accurate records of customer interactions and payment statuses
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 A bachelor's degree is required in any field
 </li>
 <li>
 We seek individuals who can adapt and perform effectively in physically demanding field environments
 </li>
 <li>
 Capable of managing physical tasks and mobility for fieldwork
 </li>
 <li>
 Demonstrated ability to negotiate successfully
 </li>
 <li>
 Proven effectiveness in follow-up activities
 </li>
 <li>
 Exceptional skills in communication and persuasion
 </li>
 <li>
 Capacity for self-driven work and independence
 </li>
 <li>
 Competent in utilizing computer systems
 </li>
 <li>
 Preferably possesses some data analysis skills
 </li>
 <li>
 Possesses a strong reputation and is acknowledged for integrity
 </li>
 <li>
 Locations as follows: Zagazig, Al Asher of Ramadan, Shubra El Khima ,Port Said, Behera, Alexandria &amp; Cairo
 
 
 </li>
 </ul>
 
 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>

Collection Officer

Coca-Cola HBC

<div>
 
 Department: Data Insights &amp; Artificial Intelligence
 
 
 Location: Cairo, Egypt
 
 
 
 Purpose of the Role
 
 
 
 As a Data Scientist in our Data Science &amp; AI team, you will play a pivotal role in Coca Cola HBC&rsquo;s data-driven transformation. You will develop advanced analytics solutions and turn strategic data assets into actionable insights across our business (spanning 29+ countries). In this mid-senior role, you&rsquo;ll apply your expertise in analytics &amp; machine learning to solve real-world problems and drive value in areas such as route-to-market, omnichannel sales, revenue growth, supply chain, and finance. You will work closely with cross-functional teams to inform decision-making and help embed a data-driven culture. We operate within an Agile delivery model, so you&rsquo;ll also collaborate through tools like Azure DevOps to iterate on solutions quickly and ensure high-quality deployments into production.‑Cola HBC&rsquo;s data-driven transformation. You will develop advanced analytics solutions and turn strategic data assets into actionable insights across our business.
 
 
 In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Dive into large and complex datasets to identify patterns and opportunities.
 </li>
 <li>
 Translate analytical findings into actionable insights and communicate them effectively.
 </li>
 <li>
 Apply statistical and machine learning techniques to solve business problems.
 </li>
 <li>
 Spearhead the development of pilot solutions and support the lifecycle of the product.
 </li>
 <li>
 Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
 </li>
 <li>
 Work with Agile/SAFe delivery models and respective ways of working.
 </li>
 <li>
 Stay up to date with AI/ML advancements and share knowledge with the team.
 </li>
 </ul>
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
 </li>
 <li>
 2 to 4 years of hands-on experience in data science or advanced analytics.
 </li>
 <li>
 Experience with ML and statistics, probabilities, regression and classification
 </li>
 <li>
 Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
 </li>
 <li>
 Problem solving skills, strong analytical mindset and attention to detail
 </li>
 <li>
 Proficiency in Python, Pyspark and SQL.
 </li>
 <li>
 Experience working with big data &amp; ML tools (ML Studio, Databricks ML, Azure Foundry). Azure Databricks is a strong plus.
 </li>
 <li>
 ML Studio, Databricks ML, Azure Foundry
 </li>
 <li>
 Experience in Consumer Product Goods domain is considered a plus.
 </li>
 </ul>
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.
 
 
 
 
</div>

Data Scientist

Interact Technology Solutions

<div>
 
 Job Summary
 
 
 
 The
 
 Senior AI Data Engineer
 
 is responsible for designing, building, and optimizing enterprise-scale data and AI infrastructure to support machine learning models, generative AI applications, and real-time analytics. The role drives the development of end-to-end data pipelines, from ingestion to production-ready AI data products, ensuring scalability, performance, and compliance across multi-cloud environments.
 
 
 
 Accountability &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT data pipelines using modern data engineering tools (e.g., Apache Spark, dbt).
 </li>
 <li>
 Architect and implement Lakehouse data platforms (Delta Lake, Apache Iceberg, Apache Hudi) following Medallion architecture (Bronze/Silver/Gold).
 </li>
 <li>
 Develop real-time streaming pipelines using Apache Kafka, Apache Flink, and Spark Structured Streaming.
 </li>
 <li>
 Build and optimize AI/GenAI data pipelines for LLM training, fine-tuning, and inference (tokenization, dataset curation, prompt engineering datasets).
 </li>
 <li>
 Design and implement Retrieval-Augmented Generation (RAG) pipelines, including embedding workflows and vector database integration.
 </li>
 <li>
 Manage feature stores for real-time and batch machine learning use cases.
 </li>
 <li>
 Integrate data pipelines with AI/ML platforms (Databricks MLflow, Azure ML, AWS SageMaker, Vertex AI, OpenAI/Azure OpenAI).
 </li>
 <li>
 Implement data orchestration workflows using Apache Airflow or similar tools with CI/CD pipelines.
 </li>
 <li>
 Ensure data quality, governance, and security using frameworks such as Great Expectations and data catalog tools.
 </li>
 <li>
 Deploy and manage infrastructure using Infrastructure-as-Code tools (Terraform, Bicep, CDK).
 </li>
 <li>
 Collaborate with Data Scientists, ML Engineers, and Solution Architects to deliver production-ready AI solutions.
 </li>
 <li>
 Lead technical design decisions, mentor junior engineers, and contribute to data platform strategy.
 </li>
 <li>
 Maintain documentation, data contracts, and operational runbooks for all pipelines.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 1
 
 &ndash; Required Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
 </li>
 <li>
 4&ndash;5 years of experience in data engineering, with strong exposure to AI/ML data infrastructure.
 </li>
 <li>
 Proven experience building scalable data pipelines and working with large-scale datasets.
 </li>
 <li>
 Hands-on experience with AI/ML platforms and modern data architectures.
 </li>
 <li>
 Experience in regulated industries (e.g., Banking, Telecom, Healthcare) is a plus.
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills.
 </li>
 <li>
 Experience working in cross-functional teams and agile environments.
 
 
 </li>
 </ul>
 
 2&ndash; Technical Skills
 
 
 
 <ul>
 <li>
 Strong SQL and advanced data modeling techniques
 </li>
 <li>
 Apache Spark (PySpark, Spark SQL, Streaming)
 </li>
 <li>
 Python (pandas, PySpark, data processing libraries)
 </li>
 <li>
 Data pipeline orchestration (Apache Airflow)
 </li>
 <li>
 CI/CD for data pipelines (GitHub Actions / Azure DevOps)
 </li>
 <li>
 Lakehouse architectures (Delta Lake / Iceberg / Hudi)
 </li>
 <li>
 Streaming technologies (Kafka, Flink)
 </li>
 <li>
 Cloud platforms (AWS / Azure / GCP)
 </li>
 <li>
 Vector databases (Pinecone, Weaviate, pgvector, OpenSearch)
 </li>
 <li>
 RAG pipeline design and LLM data processing
 </li>
 <li>
 Infrastructure-as-Code (Terraform / Bicep / CDK)
 </li>
 <li>
 Containers (Docker, Kubernetes)
 </li>
 <li>
 Data quality &amp; governance tools
 </li>
 </ul>
</div>

Senior AI Data Engineer

Vesynta

<div>
 
 Vesynta
 
 
 
 Vesynta is an investor-backed precision medicine company based within the London Cancer Hub. We are building clinical decision support software that personalises dosing of critical therapies at the point of care which provide clinicians with access to data-backed pharmacology models; resulting in fewer toxic side effects, and significantly improved treatment efficacy. We exist to support patients (children, but also women and those with diverse ethnic heritages) who have been traditionally under-represented and poorly served by traditional, coarse dosing methodologies. Our team is fast-paced, results-oriented, and mission-driven.
 
 
 
 The Job
 
 
 
 As a
 
 Senior Python Engineer
 
 , you will develop the core computational modules for our pharmacometrics engine. You will be a dedicated pure Python expert responsible for translating complex scientific models into production-ready software to personalise dosing for children undergoing cancer care.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 High-Performance Python: Write custom, highly efficient modules using vectorised operations (numpy, pandas, attrs) to calculate critical clinical metrics
 </li>
 <li>
 System Design &amp; Integration: Engage directly with internal software design processes, actively contributing to and following Mermaid.js UML and flow charts for architecture and pipelines
 </li>
 <li>
 Math to Code: Read and translate advanced mathematical equations into robust code, backed by strict unit testing against hand-calculated &lsquo;golden' datasets
 </li>
 <li>
 Cross-Language APIs: Own the integration of Python models with an industry-standard R backend (via rpy2), exposing them securely through FastAPI and gRPC
 
 
 </li>
 </ul>
 
 The Products
 
 
 
 Our web, mobile and Electronic Health Record-integrated applications offer best-in-class actionable precision dosing insights to healthcare professionals, supporting the end-to-end process of Therapeutic Drug Monitoring and Model Informed Precision Dosing. With these, the primary users (hospital-based clinicians, pharmacists and nurses) are able to provide patients with enhanced and personalised care across several therapeutic areas including antibiotics, chemotherapeutics and immunosuppressants.
 
 
 
 Recruitment Process
 
 
 
 We conduct our
 
 entire recruitment process online
 
 to ensure fairness and accessibility for all candidates. Each stage is distinct and focuses on different attributes. The process is intended to be efficient (typically taking around 2 weeks to complete) - some stages are particularly quick to schedule and progress through. Here's a breakdown:
 
 
 <ul>
 <li>
 Application Screening: A review of your CV by our team to assess your experience and high-level fit against the key role requirements
 </li>
 <li>
 Initial Screening Call: A brief introductory chat via Google Meet to discuss your background, expectations, and mutual alignment with the role
 </li>
 <li>
 Technical Challenge: A take-home Python coding assignment sent via email to evaluate your technical approach and problem-solving skills at your own pace
 </li>
 <li>
 Final Interview: A two-part session consisting of an in-depth technical evaluation (discussing hard skills and logic) and a conversational culture-fit exploration
 </li>
 <li>
 Selection &amp; Offer: We make a final decision based on a comprehensive review of all stages and extend a formal offer to join the team
 
 
 </li>
 </ul>
 
 Agencies and Recruiters
 
 
 
 Vesynta is managing this recruitment process directly and we are only accepting applications from candidates themselves. We do not accept unsolicited CVs or candidate profiles from recruitment agencies. Any unsolicited submissions will not be deemed an introduction, will not form the basis of any contractual agreement (implied or otherwise), and Vesynta will not be bound by any agency terms and conditions. We reserve the right to contact and hire any candidate whose details have been shared with us unsolicited, without any financial obligation or finder's fee to the submitting agency.
 
 
 
 Requirements
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 5+ years of backend software engineering focusing on computationally heavy, pure Python environments
 </li>
 <li>
 Expert-level Python: Deep knowledge of the Python Data Model, strict typing protocols (mypy), memory lifecycle management (GC, profiling via tracemalloc), and state management utilizing immutability (attrs) and caching strategies (functools)
 </li>
 <li>
 Scientific Libraries: High proficiency in NumPy, SciPy, and Pandas for vectorization, data structures, and optimized mathematical execution
 </li>
 <li>
 Math Translation &amp; Unit Testing: Proven ability to translate advanced mathematical equations and scientific pseudocode into performant, rigorously unit-tested algorithms directly from logic specifications
 </li>
 <li>
 System Documentation: High comfort level reading from, building, and contributing directly to Mermaid.js UML and flow charts to govern architectural decisions
 
 
 </li>
 </ul>
 
 Desirable:
 
 
 
 <ul>
 <li>
 Experience designing, maintaining, or scaling RESTful endpoints using FastAPI and configuring gRPC interfaces for high-performance communication
 </li>
 <li>
 Familiarity with R and prior experience employing rpy2 (or analogous FFI bridges) to invoke non-Python scientific kernels from a Python ecosystem
 </li>
 <li>
 Prior work in life-sciences, pharmacometrics, bioinformatics, quantitative finance, or domains featuring rigorous numerical and mathematically validated software pipelines
 
 
 </li>
 </ul>
 If you're passionate about our mission and confident you can make a significant contribution,
 
 we encourage you to apply (even if you don't perfectly match every requirement)
 
 . While this posting is for a Senior Python Engineer, we may, on occasion, identify exceptional candidates who are a strong fit for our team but whose experience aligns more closely with a different role. In such cases, we may discuss alternative opportunities within Vesynta.
 
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Impact Opportunity to create, and deliver real-world impact for children who are critically ill
 </li>
 <li>
 Flexibility Flexible working policy, where team well-being and quality of work are prioritised
 </li>
 <li>
 Growth: Opportunities for professional development, mentorship, open-source contributions, and shaping our technical direction
 </li>
 <li>
 Support and Culture Independent HR, TOIL provision, Employee Assistance Programme (ensuring personal and professional well-being) and structured parental leave packages
 </li>
 </ul>
</div>

Senior Python Engineer (remote) - Healthtech (Precision Medicine)

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 1- Data Collection &amp; Preparation:
 
 <ul>
 <li>
 Collect, clean, and pre process data from various sources to support analysis and modeling activities.
 
 </li>
 <li>
 Ensure datasets are structured, reliable, and ready for exploratory and predictive analysis.
 
 </li>
 <li>
 Support data quality checks and assist in improving data consistency.
 
 
 </li>
 </ul>
 2- Exploratory Data Analysis (EDA):
 
 <ul>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, anomalies, and key business insights.
 
 </li>
 <li>
 Assist in interpreting customer behavior and performance metrics across fin-tech products and services.
 
 </li>
 <li>
 Provide analytical summaries to support decision-making.
 
 
 </li>
 </ul>
 3- Predictive Modeling &amp; Machine Learning Support:
 
 <ul>
 <li>
 Assist in developing, testing, and evaluating predictive models and machine learning solutions.
 
 </li>
 <li>
 Support feature engineering and model validation processes.
 
 </li>
 <li>
 Measure model performance using appropriate evaluation metrics.
 
 
 </li>
 </ul>
 4- Visualization &amp; Reporting
 
 <ul>
 <li>
 Create dashboards, visualizations, and reports to communicate insights effectively.
 
 </li>
 <li>
 Present findings in a clear format tailored for both technical and non-technical audiences.
 
 </li>
 <li>
 Contribute to creating recurring performance reporting and ad-hoc analytics outputs
 
 
 </li>
 </ul>
 5- Cross-Functional Collaboration
 
 <ul>
 <li>
 Collaborate with Product, Tech, Operations, and other business stakeholders to translate business questions into analytical solutions.
 
 </li>
 <li>
 Support the development of data-driven recommendations and actionable insights.
 
 </li>
 <li>
 Participate in meetings and discussions to align analysis with business priorities.
 
 
 </li>
 </ul>
 6- Documentation &amp; Continuous Improvement
 
 <ul>
 <li>
 Document workflows, methodologies, and analytical processes to ensure clarity and reproducibility.
 
 </li>
 <li>
 Stay up to date with data science tools, techniques, and industry best practices.
 
 </li>
 <li>
 Suggest improvements to existing analytical approaches when relevant.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 
 </li>
 <li>
 0-3 Years of Experience in Data Science or similar role.
 
 </li>
 <li>
 Proficiency in Python/R, SQL, and familiarity with visualization tools.
 
 </li>
 <li>
 Understanding of basic machine learning algorithms and statistical methods.
 
 </li>
 <li>
 Strong analytical and problem‑solving skills with an eagerness to learn.
 
 </li>
 <li>
 Good communication skills to explain findings to both technical and non‑technical audiences.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
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 </ul>
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Explore 462+ Senior data scientist in Cairo this April. Find roles across top companies and apply now to boost your career.

462 senior data scientist jobs In Cairo

Senior Data Scientist - AI & ML Engineer

Applied Data Scientist

Collection Officer

Data Scientist

Senior AI Data Engineer

Senior Python Engineer (remote) - Healthtech (Precision Medicine)

Data Scientist