Senior Data Scientist

Finaira

Lead Data Scientist responsible for AI and machine learning projects within the financial sector. Collaborating with stakeholders to drive innovation and deliver impactful solutions.

Posted 6/1/2026full-timeNew Cairo City • 🇪🇬 EgyptSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopJavaNoSQLPostgresPythonPyTorchRedisScalaScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead end-to-end data science projects from conception to deployment.
Develop and implement advanced machine learning models and algorithms in banking applications.
Conduct strategic data analysis to inform business decisions and identify new opportunities.
Communicate complex technical findings to senior management and stakeholders.
Drive innovation in data science methodologies and tools.

Requirements

What you’ll need

Bachelor’s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master’s or Ph.D. preferred.
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.
Extensive experience in the financial services industry, with a deep understanding of financial data and business processes.
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.
Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks.
Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries).
Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques.
Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts.
Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases).
Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards.
Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies.
Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions.
Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently.
Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
Strong strategic thinking and a disruptive mindset to develop innovative data solutions.
Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives.
Strong customer-centric approach with a focus on delivering tangible business value.
Demonstrated leadership qualities and the ability to mentor junior team members effectively.
Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments.
Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds.
Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively.
Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Finaira Website LinkedIn All Job Openings 51 - 200 employees 🤖 Artificial Intelligence 💳 Fintech 🏦 Banking Artificial Intelligence
Fintech
Banking <Finaira> Finaira is an AI-driven digital FinTech services company born from the strategic vision of Banque Misr that delivers advanced, AI and machine-learning powered solutions to modernize banking operations, improve customer experience, and promote financial inclusion across the Middle East and Africa. The company combines deep banking expertise with AI, digital transformation, and productized services aimed at bridging traditional financial institutions with cutting-edge technology, while emphasizing talent development and regional expansion. Senior Data Scientist 🔥 12 minutes ago 🏢🏡 New Cairo City – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead end-to-end data science projects from conception to deployment.
Develop and implement advanced machine learning models and algorithms in banking applications.
Conduct strategic data analysis to inform business decisions and identify new opportunities.
Communicate complex technical findings to senior management and stakeholders.
Drive innovation in data science methodologies and tools. 🎯 Requirements
Bachelor’s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master’s or Ph.D. preferred.
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.
Extensive experience in the financial services industry, with a deep understanding of financial data and business processes.
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.
Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks.
Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries).
Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques.
Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts.
Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases).
Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards.
Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies.
Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions.
Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently.
Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
Strong strategic thinking and a disruptive mindset to develop innovative data solutions.
Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives.
Strong customer-centric approach with a focus on delivering tangible business value.
Demonstrated leadership qualities and the ability to mentor junior team members effectively.
Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments.
Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds.
Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively.
Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Lead Data Scientist 🕒 February 21 Envision Employment Solutions 11 - 50 🤝 B2B 🎯 Recruiter 👥 HR Tech Website LinkedIn All Job Openings Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment. 🏢🏡 New Cairo City – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

machine learningPythonJavaScalaRSQLHadoopSparkadvanced statisticsdata visualization

Soft Skills

problem-solvinganalytical skillscommunication skillsstrategic thinkingleadershipcustomer-centric approachmentoringreliabilityinterpersonal skillsself-learning