software engineer

data analyst

data engineer

business analyst

digital specialist

data scientist

Concentrix

<p></p><div><p>Job Title:
</p>Data Scientist
<p></p><p>Job Description
</p>Job Description:
<br>
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
<br>
<br>
The global technology and services leader that powers the world&rsquo;s best brands, today and into the future. We&rsquo;re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we&rsquo;re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
<br>
<br>
The Concentrix Catalyst team is the driving force behind Concentrix&rsquo;s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
<br>
<br>
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we&rsquo;re proud to be recognized with awards such as &quot;World's Best Workplaces,&quot; &ldquo;Best Companies for Career Growth,&rdquo; and &ldquo;Best Company Culture,&rdquo; year after year.
<br>
<br>
Join us and be part of this journey towards greater opportunities and brighter futures.
<br>
<br>
We are seeking a technically strong and product-minded Data Scientist to join our CX Analytics team supporting the VoxMiner practice at Concentrix.
<br>
This role goes beyond traditional analytics. You will design, build, and productionize scalable data science solutions, combining machine learning, NLP, automation, software engineering and business intelligence best practices to power the delivery of insight focused solutions and services.
<br>
<br>
Responsibilities:
<br>
<ul><li>Design and build scalable Python-based data applications and services.
</li><li>Develop and maintain web scrapers and API integrations.
</li><li>Build and maintain automated data pipelines (ETL/ELT).
</li><li>Package models into deployable solutions (APIs, scheduled jobs, etc).
</li><li>Build predictive models (churn risk, conversion drivers, sentiment shifts, operational performance).
</li><li>Participate in code reviews and contribute to team knowledge sharing.
</li><li>Run and optimize Brandwatch queries to extract structured social listening data.
</li><li>Design and develop advanced Power BI dashboards (data modeling, DAX, performance optimization).
</li><li>Design and develop Microsoft Power Suite automations.
</li><li>Stay updated with emerging trends and technologies.
</li></ul><br>
Preferred Qualifications:
<br>
<ul><li>Bachelor's Degree in Computer Science, Engineering, or related field.
</li><li>3-5 years&rsquo; experience in Data Science or Software Engineering
</li><li>Advanced proficiency in Python (pandas, numpy, scikit-learn, NLP libraries).
</li><li>Hands-on experience implementing Generative AI solutions, including LLM-based architectures and AI agent frameworks such as LangChain or AutoGen.
</li><li>Familiarity with RESTful APIs and web services.
</li><li>Proficient understanding of code versioning tools, such as Git.
</li><li>Experience with Azure Databricks.
</li><li>Knowledge of SQL and NoSQL databases.
</li><li>Proven ability to organize and prioritize projects in fast-paced environments.
</li><li>Excellent problem-solving skills and attention to detail.
</li><li>Strong communication and teamwork abilities.
</li></ul><br>
Nice to have:
<br>
<ul><li>Proficiency in .NET framework and C# programming.
</li><li>Experience with React.js and front-end development.
</li><li>Experience with Microsoft Power Platform.
</li></ul><p>Job Description:
</p><p>We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
<br>
<br>
The global technology and services leader that powers the world&rsquo;s best brands, today and into the future. We&rsquo;re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we&rsquo;re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
<br>
<br>
The Concentrix Catalyst team is the driving force behind Concentrix&rsquo;s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
<br>
<br>
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we&rsquo;re proud to be recognized with awards such as &quot;World's Best Workplaces,&quot; &ldquo;Best Companies for Career Growth,&rdquo; and &ldquo;Best Company Culture,&rdquo; year after year.
<br>
<br>
Join us and be part of this journey towards greater opportunities and brighter futures.
</p><p></p><p>We are seeking a technically strong and product-minded <b>Data Scientist </b>to join our CX Analytics team supporting the VoxMiner practice at Concentrix.
</p><p>This role goes beyond traditional analytics. You will design, build, and productionize scalable data science solutions, combining <b>machine learning, NLP, automation, software engineering and business intelligence best practices </b>to power the delivery of insight focused solutions and services.
</p><p></p><p>Responsibilities:
</p><ul><li>Design and build scalable Python-based data applications and services.
</li><li>Develop and maintain web scrapers and API integrations.
</li><li>Build and maintain automated data pipelines (ETL/ELT).
</li><li>Package models into deployable solutions (APIs, scheduled jobs, etc).
</li><li>Build predictive models (churn risk, conversion drivers, sentiment shifts, operational performance).
</li><li>Participate in code reviews and contribute to team knowledge sharing.
</li><li>Run and optimize Brandwatch queries to extract structured social listening data.
</li><li>Design and develop advanced Power BI dashboards (data modeling, DAX, performance optimization).
</li><li>Design and develop Microsoft Power Suite automations.
</li><li>Stay updated with emerging trends and technologies.
</li></ul><p></p><p>Preferred Qualifications:
</p><ul><li>Bachelor's Degree in Computer Science, Engineering, or related field.
</li><li>3-5 years&rsquo; experience in Data Science or Software Engineering
</li><li>Advanced proficiency in Python (pandas, numpy, scikit-learn, NLP libraries).
</li><li>Hands-on experience implementing Generative AI solutions, including LLM-based architectures and AI agent frameworks such as LangChain or AutoGen.
</li><li>Familiarity with RESTful APIs and web services.
</li><li>Proficient understanding of code versioning tools, such as Git.
</li><li>Experience with Azure Databricks.
</li><li>Knowledge of SQL and NoSQL databases.
</li><li>Proven ability to organize and prioritize projects in fast-paced environments.
</li><li>Excellent problem-solving skills and attention to detail.
</li><li>Strong communication and teamwork abilities.
</li></ul><p></p><p>Nice to have:
</p><ul><li>Proficiency in .NET framework and C# programming.
</li><li>Experience with React.js and front-end development.
</li><li>Experience with Microsoft Power Platform.
</li></ul><p></p><p>Location:
</p>EGY Work-at-Home
<p></p><p>Language Requirements:
</p><p></p><p>Time Type:
</p>Full time2026-04-02</div>

Data Scientist

RATP Dev Mobility Cairo

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 <br/>
 <br/>
 <strong>
  Responsibilities/Duties
  <br/>
  <br/>
 </strong>
 <strong>
  Profil de candidat recherch&eacute; :
  <br/>
  <br/>
 </strong>
 <strong>
  Data Science &amp; Analytics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
  </li>
  <li>
   Design, test, and implement machine learning and AI models to support predictive and operational needs.
  </li>
  <li>
   Maintain and update a library of analytical tools, scripts, and programs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Intelligence &amp; Visualization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
  </li>
  <li>
   Build dynamic visualizations that support decision-making across operations and maintenance functions.
  </li>
  <li>
   Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
  </li>
  <li>
   Liaise with software vendors and internal teams to ensure desired system features and performance are met.
  </li>
  <li>
   Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement &amp; Knowledge Sharing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
  </li>
  <li>
   Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
  </li>
  <li>
   Promote the use of company data tools, AI models, and portals to increase adoption and business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Safety Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
  </li>
  <li>
   Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
  </li>
  <li>
   Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
  </li>
  <li>
   All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
  </li>
  <li>
   Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in English; French is a plus.
  </li>
  <li>
   Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
  </li>
  <li>
   Knowledge of data visualization and analytics concepts.
  </li>
  <li>
   Ability to develop practical solutions using data.
  </li>
  <li>
   Proficiency in Microsoft Office applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of relevant experience in data science, software development, or data analysis.
  </li>
  <li>
   Hands-on experience in programming (Python, C++ or similar).
  </li>
  <li>
   Practical experience with data visualization tools (Power BI, Qlik, Excel).
  </li>
  <li>
   Proven track record of delivering data science projects as a hands-on implementer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Behaviors &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrates curiosity and persistence in identifying insights and creating business value.
  </li>
  <li>
   Able to work independently and collaborate effectively within a team environment.
  </li>
  <li>
   Communicates clearly and confidently, both verbally and in writing, to different audiences.
  </li>
  <li>
   Show adaptability and flexibility when working with diverse stakeholders.
  </li>
  <li>
   Strong problem-solving skills with the ability to manage competing priorities.
  </li>
  <li>
   Takes initiative, meets deadlines, and shows accountability for results.
  </li>
 </ul>
</div>


Coca-Cola HBC

<div>
 <p>
  Department: Data Insights &amp; Artificial Intelligence
 </p>
 <p>
  Location: Cairo, Egypt
 </p>
 <p>
  <strong>
   Purpose of the Role
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  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
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <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>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <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>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
</div>


<div><div><div><div><div><div><div><div>Egypt
</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><p>Department: Data Insights &amp; Artificial Intelligence</p><p>
Location: Cairo, Egypt</p><p><b>
Purpose of the Role</b></p><p>
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.</p><p>
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</p><p></p><p><b>
YOUR NEW KEY RESPONSIBILITIES:</b></p><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></ul><ul>
<li>Stay up to date with AI/ML advancements and share knowledge with the team.
</li></ul><p><b>ARE THESE YOUR SECRET INGREDIENTS?</b></p><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><div><p><b>ABOUT YOUR NEW TEAM:</b></p><p>
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.</p><p><b>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></p><p>
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.</p></div><br>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div></div></div></div></div></div></div>

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Senior Data Scientist
  </strong>
  who combines strong hands-on expertise with the ability to lead and scale analytics solutions in a complex, multi-market environment. In this role, you will take ownership of delivering advanced analytics solutions, generating actionable insights and driving tangible business impact, with a strong focus in the route-to-market and commercial effectiveness areas. You will work closely with business stakeholders, translating ambiguous problems into scalable data products deployed across 29 markets. Beyond individual contribution, you will play a key role in shaping our data science practices and, over time, lead and mentor a small team of data scientists, ensuring high standards in both technical delivery and business impact. This is a high-impact role suited for someone who can independently drive complex problems end-to-end and balance deep technical execution with evolving leadership responsibilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.
  </li>
  <li>
   Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.
  </li>
  <li>
   Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.
  </li>
  <li>
   Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.
  </li>
  <li>
   Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.
  </li>
  <li>
   Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.
  </li>
  <li>
   Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.
  </li>
  <li>
   Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <ul>
  <li>
   5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions
  </li>
  <li>
   Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance
  </li>
  <li>
   Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems
  </li>
  <li>
   Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure &amp; Databricks)
  </li>
  <li>
   Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
  </li>
  <li>
   Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes
  </li>
  <li>
   Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies
  </li>
  <li>
   Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors
  </li>
  <li>
   Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists
  </li>
  <li>
   Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact
  </li>
  <li>
   Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage
  </li>
  <li>
   BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </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 impact.
 </p>
 <p>
  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>
  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.
 </p>
 <p>
  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>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </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>


Senior Data Scientist

NielsenIQ

<div><b>Company Description</b><p><br>
As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics, and demography. These professionals drive innovation, new product ideation, develop complex analysis, and deliver data insights to measure what consumers buy.</p><p>
This role sits within a <b>high‑expectation, high‑visibility environment</b>, where <b>strong statistical rigor, senior Data Science ownership, and confident client interaction</b> are critical to success.</p><b><br>
Job Description</b><p><br>
What You&rsquo;ll Do</p><ul><li><b>
Own Data Science end‑to‑end</b> for a specific market or industry across <b>new and established products</b>, including analytical design, methodology decisions, and solution validation.</li><li>
Act as a <b>senior Data Science business partner</b> to Managing Directors, Commercial, Product, and Technology leaders, supporting <b>country‑level revenue, EBITDA, and strategic objectives</b>.</li><li><b>
Engage directly with external clients in high‑pressure situations</b>, translating complex and often ambiguous business problems into <b>robust analytical strategies</b>, and confidently defending statistical approaches and outcomes.</li><li>
Support Client and Commercial teams with <b>advanced Data Science and methodological guidance</b> (this role goes beyond basic statistical support).</li><li>
Play a <b>leading role in the application of data and analytics strategies</b>, ensuring solutions are analytically sound, scalable, and business‑relevant.</li><li><b>
Innovate and design out‑of‑the‑box solutions</b> by leveraging large, complex datasets and state‑of‑the‑art statistical and Data Science methodologies.</li><li>
Collaborate closely with in‑house Data Science teams, <b>raising analytical standards</b>, guiding problem‑solving approaches, and aligning on priorities.</li><li>
Enable Data Science technology solutions on the ground and ensure outputs <b>meet both client expectations and internal quality standards</b>.</li><li>
Work closely with Product Enhancement, Product, and Technology teams to <b>bring analytical solutions to market</b>, from concept through deployment.</li></ul><p>
Experience</p><ul><li>
Degree in <b>Mathematics, Statistics, Data Science</b>, or a related quantitative field involving <b>deep statistical analysis of large datasets</b>.</li><li><b>
5+ years of hands‑on experience</b> in market research, consumer analytics, or a relevant Data Science field (strong preference for candidates operating beyond junior or execution‑only roles).</li><li>
Demonstrated ability to <b>independently own complex analytical problems</b>, including methodology selection, statistical reasoning, and interpretation.</li><li>
Solid understanding of the <b>CPG/FMCG industry</b> and <b>retail market dynamics</b>, and how analytics drives measurable client impact.</li><li>
Proven experience working in <b>client‑facing, high‑pressure environments</b>, handling challenging questions, escalations, and tight timelines.</li></ul><br>
<b>
Qualifications</b><p><b><i><br>
Qualifications</i></b></p><ul><li>
Passionate about innovation and Data Science technology, with <b>strong statistical depth</b> rather than surface‑level knowledge.</li><li>
Experienced in <b>proactive stakeholder and client engagement</b>, confidently linking advanced analytics to business outcomes.</li><li>
Innovative mindset with the ability to <b>design solutions</b>, not just execute predefined analyses.</li><li>
Strong ability to <b>explain complex statistical concepts clearly to non‑experts</b>, including senior clients.</li><li>
Excellent problem‑solving, deductive reasoning, and analytical thinking skills.</li><li>
Strong collaboration and communication skills across Data Science, Commercial, Product, and Technology teams.</li><li>
Ability to <b>prioritize, make decisions, and manage multiple assignments</b> in a fast‑paced, high‑pressure environment.</li><li>
Demonstrated leadership maturity, ownership mindset, and accountability.</li><li>
Strong business acumen, consultative skills, and empathy for client needs.</li><li>
Excellent written and spoken <b>English</b>.</li><li>
Eager to continuously learn and adapt to evolving methodologies, technologies, and tools.</li></ul><br>
<b>
Additional Information</b><div></div><p><b><br>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul><p>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></div>

Senior Data Scientist (Statistics)

<div>
 <p>
  As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics, and demography. These professionals drive innovation, new product ideation, develop complex analysis, and deliver data insights to measure what consumers buy.
  <br/>
  <br/>
 </p>
 <p>
  This role sits within a
  <strong>
   high‑expectation, high‑visibility environment
  </strong>
  , where
  <strong>
   strong statistical rigor, senior Data Science ownership, and confident client interaction
  </strong>
  are critical to success.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Own Data Science end‑to‑end
   </strong>
   for a specific market or industry across
   <strong>
    new and established products
   </strong>
   , including analytical design, methodology decisions, and solution validation
  </li>
  <li>
   Act as a
   <strong>
    senior Data Science business partner
   </strong>
   to Managing Directors, Commercial, Product, and Technology leaders, supporting
   <strong>
    country‑level revenue, EBITDA, and strategic objectives
   </strong>
  </li>
  <li>
   <strong>
    Engage directly with external clients in high‑pressure situations
   </strong>
   , translating complex and often ambiguous business problems into
   <strong>
    robust analytical strategies
   </strong>
   , and confidently defending statistical approaches and outcomes
  </li>
  <li>
   Support Client and Commercial teams with
   <strong>
    advanced Data Science and methodological guidance
   </strong>
   (this role goes beyond basic statistical support)
  </li>
  <li>
   Play a
   <strong>
    leading role in the application of data and analytics strategies
   </strong>
   , ensuring solutions are analytically sound, scalable, and business‑relevant
  </li>
  <li>
   <strong>
    Innovate and design out‑of‑the‑box solutions
   </strong>
   by leveraging large, complex datasets and state‑of‑the‑art statistical and Data Science methodologies
  </li>
  <li>
   Collaborate closely with in‑house Data Science teams,
   <strong>
    raising analytical standards
   </strong>
   , guiding problem‑solving approaches, and aligning on priorities
  </li>
  <li>
   Enable Data Science technology solutions on the ground and ensure outputs
   <strong>
    meet both client expectations and internal quality standards
   </strong>
  </li>
  <li>
   Work closely with Product Enhancement, Product, and Technology teams to
   <strong>
    bring analytical solutions to market
   </strong>
   , from concept through deployment
  </li>
 </ul>
 <p>
  Experience
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   Degree in
   <strong>
    Mathematics, Statistics, Data Science
   </strong>
   , or a related quantitative field involving
   <strong>
    deep statistical analysis of large datasets
   </strong>
  </li>
  <li>
   <strong>
    5+ years of hands‑on experience
   </strong>
   in market research, consumer analytics, or a relevant Data Science field (strong preference for candidates operating beyond junior or execution‑only roles)
  </li>
  <li>
   Demonstrated ability to
   <strong>
    independently own complex analytical problems
   </strong>
   , including methodology selection, statistical reasoning, and interpretation
  </li>
  <li>
   Solid understanding of the
   <strong>
    CPG/FMCG industry
   </strong>
   and
   <strong>
    retail market dynamics
   </strong>
   , and how analytics drives measurable client impact
  </li>
  <li>
   Proven experience working in
   <strong>
    client‑facing, high‑pressure environments
   </strong>
   , handling challenging questions, escalations, and tight timelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <p>
  <em>
   <strong>
    Qualifications
    <br/>
    <br/>
   </strong>
  </em>
 </p>
 <ul>
  <li>
   Passionate about innovation and Data Science technology, with
   <strong>
    strong statistical depth
   </strong>
   rather than surface‑level knowledge
  </li>
  <li>
   Experienced in
   <strong>
    proactive stakeholder and client engagement
   </strong>
   , confidently linking advanced analytics to business outcomes
  </li>
  <li>
   Innovative mindset with the ability to
   <strong>
    design solutions
   </strong>
   , not just execute predefined analyses
  </li>
  <li>
   Strong ability to
   <strong>
    explain complex statistical concepts clearly to non‑experts
   </strong>
   , including senior clients
  </li>
  <li>
   Excellent problem‑solving, deductive reasoning, and analytical thinking skills
  </li>
  <li>
   Strong collaboration and communication skills across Data Science, Commercial, Product, and Technology teams
  </li>
  <li>
   Ability to
   <strong>
    prioritize, make decisions, and manage multiple assignments
   </strong>
   in a fast‑paced, high‑pressure environment
  </li>
  <li>
   Demonstrated leadership maturity, ownership mindset, and accountability
  </li>
  <li>
   Strong business acumen, consultative skills, and empathy for client needs
  </li>
  <li>
   Excellent written and spoken
   <strong>
    English
   </strong>
  </li>
  <li>
   Eager to continuously learn and adapt to evolving methodologies, technologies, and tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  <strong>
   Our Benefits
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Flexible working environment
  </li>
  <li>
   Volunteer time off
  </li>
  <li>
   LinkedIn Learning
  </li>
  <li>
   Employee-Assistance-Program (EAP)
  </li>
 </ul>
 <p>
  NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
  <br/>
  <br/>
 </p>
 <br/>
 <p>
  <strong>
   About NIQ
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
  <br/>
  <br/>
 </p>
 <p>
  For more information, visit NIQ.com
  <br/>
  <br/>
 </p>
 <p>
  Want to keep up with our latest updates?
  <br/>
  <br/>
 </p>
 <p>
  Follow us on: LinkedIn | Instagram | Twitter | Facebook
  <br/>
  <br/>
 </p>
 <br/>
 <p>
  <strong>
   Our commitment to Diversity, Equity, and Inclusion
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
  <br/>
  <br/>
 </p>
</div>


Senior Data Scientist  (Statistics)

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