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scientific & regulatory affairs coordinator

senior research 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>
 
 Requirements
 
 
 
 <li>
 Education: 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
 </li>
 <li>
 Experience:
 </li>
 <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>
 <li>
 Technical skills:
 </li>
 <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

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Qualifications
 
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 4 to 6 years of experience is required,
 </li>
 <li>
 Strong record of
 
 production-grade ML/NLP projects
 
 .
 </li>
 <li>
 Experience leading
 
 small data science teams
 
 or research initiatives.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Deep expertise in
 
 model architecture design
 
 ,
 
 feature stores
 
 , and
 
 model monitoring
 
 .
 </li>
 <li>
 Experience in
 
 ensemble blending
 
 ,
 
 A/B testing
 
 , and
 
 model explainability
 
 (SHAP, LIME).
 </li>
 <li>
 Builds and fine-tunes
 
 transformer-based models
 
 for custom tasks (summarization, Q&amp;A, document intelligence).
 </li>
 <li>
 Implements
 
 RAG (Retrieval-Augmented Generation)
 
 and
 
 embedding-based semantic search
 
 .
 </li>
 <li>
 Integrates
 
 vector databases
 
 (Pinecone, FAISS, Chroma).
 </li>
 <li>
 Uses
 
 LangChain or LlamaIndex
 
 for orchestration.
 </li>
 <li>
 Evaluates and optimizes
 
 prompt templates
 
 and
 
 context length efficiency
 
 .
 </li>
 <li>
 Designs
 
 data pipelines
 
 (Airflow, Spark, Dataiku).
 </li>
 <li>
 Deploys
 
 scalable APIs
 
 , manages
 
 CI/CD
 
 ,
 
 monitoring
 
 , and
 
 drift detection
 
 .
 </li>
 <li>
 Works closely with product and engineering teams to embed AI in production systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Leadership &amp; Soft Skills
 
 </li>
 <li>
 Leads small teams or workstreams.
 </li>
 <li>
 Ensures project quality, deadlines, and alignment with business KPIs.
 </li>
 <li>
 Coaches mid-level team members and contributes to talent development.
 </li>
 </ul>
</div>

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Coca-Cola HBC

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead development and deployment of advanced analytics and traditional machine learning solutions as proof-of-concept and in production environments.
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution (at user story level or even feature level).
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Guide the activities of less experienced team members or lead external teams and collaborate with internal Engineering team.
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 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 i
 
 
 mpact.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 - for us and for you - when we OPEN UP.
 
 
 
 
 
 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>

Microsoft

<div>
 
 Overview
 
 
 
 Our team uses the latest in Generative AI technologies to build models, solutions, and experiences to power search innovations in Microsoft Bing and Microsoft Copilot. We are looking for candidates eager to work on cutting-edge large-scale AI services to power the next-gen AI powered search. In particular, we are seeking candidates who are passionate about Deep Learning and latest AI technologies to light up related scenarios.
 
 
 The successful candidate will participate in collaborations with relevant product and business groups inside or outside of Microsoft and will provide expertise or technology to create business impact by bridging the gap between research (in Microsoft AI [MAI], other Microsoft divisions, or in the community) and the relevant product teams.
 
 
 The ideal candidate will work with limited guidance, to create product impact through deep knowledge of AI and ML and will continuously seek to acquire knowledge of industry trends and advances in applied AI/ML technologies. We are looking for Applied Scientists who can research and develop an understanding of relevant tools, technologies, and methods that can be utilized to improve product quality, performance, or efficiency, while reinforcing a positive &amp; inclusive environment by applying best practices, and producing high quality documentation of the work in progress, as well as experimentation results, and plans, along the way. An Applied Scientist should understand and follow ethics and privacy policies when executing research processes and/or collecting data/information.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a senior team member. Seeks guidance from senior team members when confronted with problems/challenges.
 </li>
 <li>
 Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a senior team member.
 </li>
 <li>
 Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of senior team members.
 </li>
 <li>
 Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a senior team member. Addresses models when that break, under the direction of others.
 </li>
 <li>
 Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions.
 </li>
 <li>
 Solid problem solving and debugging skills.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Mid Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 2 to 4 years of experience is required.
 </li>
 <li>
 Proven experience in
 
 end-to-end ML project delivery
 
 (data prep &rarr; modeling &rarr; deployment).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Advanced
 
 Python
 
 (modular code, OOP, APIs).
 </li>
 <li>
 Strong
 
 SQL
 
 (window functions, query optimization).
 </li>
 <li>
 Expert in
 
 supervised/unsupervised learning
 
 ,
 
 feature engineering
 
 , and
 
 model tuning
 
 .
 </li>
 <li>
 Solid understanding of
 
 time-series modeling
 
 and
 
 model interpretability (SHAP, LIME)
 
 .
 </li>
 <li>
 Experience with
 
 NLP pipelines
 
 (text cleaning, vectorization, embeddings).
 </li>
 <li>
 Knowledge of
 
 transformer models
 
 (BERT, GPT) and their fine-tuning using Hugging Face or OpenAI API.
 </li>
 <li>
 Able to build
 
 classification, summarization, or entity extraction
 
 solutions.
 </li>
 <li>
 Understanding of
 
 prompt engineering basics
 
 and
 
 embedding-based search
 
 .
 </li>
 <li>
 Familiarity with
 
 Airflow, Docker, FastAPI/Flask
 
 , or
 
 CI/CD pipelines
 
 for model deployment.
 </li>
 <li>
 Works with cloud ML environments (
 
 Azure ML, AWS Sagemaker, or Dataiku
 
 ).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Mentors junior data scientists.
 </li>
 <li>
 Communicates complex results in clear business language.
 </li>
 <li>
 Works independently and aligns projects to measurable business outcomes.
 </li>
 </ul>
</div>

Mid Senior Data Scientist

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290 senior research scientist jobs IN Cairo

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Mid Senior Data Scientist