data analyst

data engineer

senior data engineer

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junior data scientist

senior data scientist

Envision Employment Solutions

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.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>Qualifications</li>
<li>Bachelor’s or Master’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>
<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&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>
<li>Leadership & 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>


Senior Data Scientist

Celfocus

<div>
 <strong>
  Make an impact
 </strong>
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 <br/>
 <br/>
 <strong>
  Create and enhance projects
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Be part of the team
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Face challenges
 </strong>
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  As a part of your job, you will:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What are we looking for?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal traits
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  Come join the Team!
  <br/>
  <br/>
 </strong>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 <br/>
 <br/>
 To know more, visit www.celfocus.com
</div>


Coca-Cola HBC

<div>
 <p>
  <strong>
   Location:
  </strong>
  New Cairo, Egypt
 </p>
 <p>
  <strong>
   Department:
  </strong>
  Data Science &amp; AI
 </p>
 <p>
  <strong>
   Role reports to:
  </strong>
  Data Science &amp; AI Manager
 </p>
 <p>
  <strong>
   Contract Type:
  </strong>
  Permanent
 </p>
 <p>
  <strong>
   Work Model:
  </strong>
  Hybrid (4 days from office)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   IN THIS EXCITING ROLE YOU WILL:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Lead development and deployment of advanced analytics and traditional machine learning solutions as proof-of-concept and in production environments.
 </p>
 <p>
  &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution (at user story level or even feature level).
 </p>
 <p>
  &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 </p>
 <p>
  &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 </p>
 <p>
  &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 </p>
 <p>
  &bull; Guide the activities of less experienced team members or lead external teams and collaborate with internal Engineering team.
 </p>
 <p>
  &bull; Have opportunities for professional training and certifications as well as mentorship.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; MSc or PhD in Data Science, Engineering or a related field.
 </p>
 <p>
  &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 </p>
 <p>
  &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 </p>
 <p>
  &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.
 </p>
 <p>
  &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.
 </p>
 <p>
  &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 </p>
 <p>
  &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 </p>
 <p>
  &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 </p>
 <p>
  &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
</div>


The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Location:</b> New Cairo, Egypt
</div><div><b>Department:</b> Data Science &amp; AI</div><div><b>
Role reports to: </b>Data Science &amp; AI Manager
</div><div><b>Contract Type:</b> Permanent
</div><div><b>Work Model:</b> Hybrid (4 days from office)<br>
</div><div></div><br>
<div>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.
</div><div>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.<br>
</div><div></div><br>
<div><b>IN THIS EXCITING ROLE YOU WILL:<br>
</b></div><div></div><br>
<ul><li>Lead development and deployment of advanced analytics and traditional machine learning solutions as proof-of-concept and in production environments.
</li><li>Manage sub-project workflows independently, identifying next steps and ensuring timely execution (at user story level or even feature level).
</li><li>Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
</li><li>Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
</li><li>Deliver scalable, maintainable solutions that support customer and business needs.
</li><li>Guide the activities of less experienced team members or lead external teams and collaborate with internal Engineering team
</li><li>Have opportunities for professional training and certifications as well as mentorship.<br>
 </li></ul><div></div><br>
<div><b>YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:<br>
</b></div><div></div><br>
<ul><li>MSc or PhD in Data Science, Engineering or a related field.
</li><li>A mindset geared toward ownership, communication, initiative, and continuous improvement.
</li><li>Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
</li><li>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.
</li><li>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.
</li><li>Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
</li><li>Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
</li><li>Great communication skills and the ability to engage with both technical and business stakeholders.
</li><li>Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.<br>
</li></ul><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:<br>
</b></div><div></div><br>
<div>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.
</div><div>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.<br>
</div><div></div><br>
<div>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.
</div><div>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.<br>
</div><div></div><br>
<div>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.<br>
</div></div></div></div></div></div><div></div><br>
<div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div></div></div></div></div></div></div>

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

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.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>Bachelor’s or Master’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 → modeling → deployment).</li>
<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>
<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>


RSA Security

<div>
 <strong>
  <strong>
   RSA - Senior Data Scientist
   <br/>
   <br/>
  </strong>
 </strong>
 RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.
 <br/>
 <br/>
 For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.
 <br/>
 <br/>
 We are seeking a strategic and technically adept Senior Data Scientist with 5+ years of experience to lead data-driven initiatives across the organization. This role demands a deep understanding of advanced analytics, machine learning, and data architecture, with the ability to mentor junior team members and influence business strategy through data insights.
 <br/>
 <br/>
 <strong>
  You Will Be Responsible For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leading the design and deployment of scalable data science solutions.
  </li>
  <li>
   Driving innovation in predictive modeling and machine learning.
  </li>
  <li>
   Collaborating cross-functionally to align data initiatives with business goals.
  </li>
  <li>
   Mentoring and guiding junior data scientists and engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Principal Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect and implement advanced machine learning models and predictive analytics pipelines.
  </li>
  <li>
   Lead end-to-end data science projects: from business problem framing to deployment and monitoring.
  </li>
  <li>
   Evaluate and integrate new data sources and technologies to enhance model performance.
  </li>
  <li>
   Translate complex data insights into actionable business strategies.
  </li>
  <li>
   Oversee data quality, governance, and compliance across projects.
  </li>
  <li>
   Mentor junior team members and foster a culture of continuous learning and experimentation.
  </li>
  <li>
   Present findings to stakeholders through compelling storytelling and visualization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
  </li>
  <li>
   5+ years of experience in data science, machine learning, or AI.
  </li>
  <li>
   Proficiency in Python or R, and strong SQL skills.
  </li>
  <li>
   Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop).
  </li>
  <li>
   Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  </li>
  <li>
   Strong background in data modeling, data warehousing (Snowflake, Redshift, BigQuery), and pipeline architecture.
  </li>
  <li>
   Excellent communication skills with the ability to influence non-technical stakeholders.
  </li>
  <li>
   Proven track record of leading successful data science projects and mentoring teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with real-time data processing and streaming analytics.
  </li>
  <li>
   Familiarity with MLOps and model deployment best practices.
  </li>
  <li>
   Publications or contributions to open-source data science projects.
  </li>
  <li>
   Certifications in cloud or data science technologies.
   <br/>
   <br/>
  </li>
 </ul>
 RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.
 <br/>
 <br/>
 If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at
 <strong>
  <strong>
   rsa.global.talent.acquisition@rsa.com
  </strong>
 </strong>
 . RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>


RSA- Senior Data Scientist

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RSA- Senior Data Scientist