data engineer (m/w/d) Jobs in Cairo 12 Months Contract Jobs In Cairo Egypt

data engineer (m/w/d)

business analytics analyst Jobs in Cairo 12 Months Contract Jobs In Cairo Egypt

business analytics analyst

data analyst Jobs in Cairo 12 Months Contract Jobs In Cairo Egypt

data analyst

data analytics Jobs in Cairo 12 Months Contract Jobs In Cairo Egypt

data analytics

data engineer Jobs in Cairo 12 Months Contract Jobs In Cairo Egypt

data engineer

data engineer quantumblack ai by mckinsey

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.
 
 
 In this role, you will collaborate with highly talented business consultants and data-scientists to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You&rsquo;ll actively cooperate with data scientists and digital consultants to incorporate clients&rsquo; requirements and impactful analysis into our data products. You&rsquo;ll also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.
 
 
 You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.
 
 
 Lastly, you'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, engineering, mathematics or another relevant subject
 </li>
 <li>
 3+ years of experience in big data related software development; experience with data modeling, design patterns and building highly scalable and secured solutions
 </li>
 <li>
 Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala, etc.)
 </li>
 <li>
 Familiar with big data platforms (SQL, Teradata, Hadoop, Spark)
 </li>
 <li>
 Experience preparing data for analytics and following a data science workflow
 </li>
 <li>
 Advanced knowledge of data structures and algorithms, networking, operating systems, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
 </li>
 <li>
 Ability to work with a myriad of data types (structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets
 </li>
 <li>
 Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
 </li>
 <li>
 Experience and interest in Cloud platforms such as AWS, Azure, GCP
 </li>
 <li>
 Commercial client-facing project experience is helpful
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Engineer - QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Deloitte

<div>
 
 Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team.
 
 
 Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 
 As a Consultant In Our Team, You Will
 
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionised solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Be responsible for the high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assisting in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 Your Tasks Would Include
 
 
 
 Data requirements gathering and client engagement:
 
 
 <ul>
 <li>
 Being able to engage with the client to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 Data analysis and pre-processing
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 Algorithm Development
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experiment with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 Model Training and Evaluation
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 Data Visualization
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau, PowerBI.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience.
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data science and AL/ML.
 
 
 
 Essentials
 
 
 
 <ul>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 Desirables
 
 
 
 <ul>
 <li>
 Domain Knowledge: Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

<div>
 
 
 Company Overview:
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a seasoned and visionary Lead, AI &amp; Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed.
 
 
 You will play a pivotal role in building and scaling the AI &amp; Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Strategic &amp; Technical Leadership
 
 
 <ul>
 <li>
 Define and lead the
 
 AI &amp; Data Science vision and roadmap
 
 , aligned with business priorities.
 </li>
 <li>
 Provide
 
 technical oversight
 
 for AI initiatives across domains:
 </li>
 <li>
 
 Generative AI &amp; LLMs
 
 (fine-tuning, RAG pipelines, multi-agent systems).
 </li>
 <li>
 
 Predictive Analytics &amp; Time-Series Modeling
 
 .
 </li>
 <li>
 
 Computer Vision &amp; Multimodal AI
 
 .
 </li>
 <li>
 
 Reinforcement Learning &amp; Optimization
 
 .
 </li>
 <li>
 
 Knowledge Engineering &amp; Semantic Search
 
 .
 </li>
 <li>
 
 Edge AI &amp; Real-Time AI Deployments
 
 .
 </li>
 <li>
 Act as the
 
 architect and reviewer
 
 of AI systems, ensuring scalability, robustness, and compliance.
 </li>
 <li>
 Guide the adoption of
 
 MLOps best practices
 
 (CI/CD for ML, monitoring, retraining, governance).
 </li>
 <li>
 Drive innovation while balancing
 
 pragmatism and production readiness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Team Development
 
 
 <ul>
 <li>
 Build and grow a
 
 world-class AI &amp; Data Science team
 
 , including
 
 hiring, onboarding, and performance management
 
 .
 </li>
 <li>
 Mentor and coach team members to elevate technical depth and problem-solving skills.
 </li>
 <li>
 Create
 
 career development plans, learning paths, and certification opportunities
 
 for the team.
 </li>
 <li>
 Foster a culture of
 
 collaboration, experimentation, and continuous improvement
 
 .
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Representation
 
 
 <ul>
 <li>
 Work closely with
 
 Product Managers, Solution Architects, and Engineering Leads
 
 to embed AI across the product suite.
 </li>
 <li>
 Translate business challenges into
 
 scalable, impactful AI solutions
 
 .
 </li>
 <li>
 Represent the department in
 
 industry conferences, technical forums, and client engagements
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in AI/ML, including at least 3 years in a
 
 technical leadership or team lead role
 
 .
 </li>
 <li>
 Strong knowledge (architectural &amp; practical) of:
 </li>
 <li>
 
 LLMs, RAG, and AI Agents
 
 .
 </li>
 <li>
 
 Predictive analytics &amp; time-series forecasting
 
 .
 </li>
 <li>
 
 Computer vision, multimodal learning, and geospatial AI
 
 .
 </li>
 <li>
 
 Reinforcement learning and optimization techniques
 
 .
 </li>
 <li>
 
 MLOps practices &amp; data pipelines
 
 .
 </li>
 <li>
 Ability to
 
 review code, design architectures, and guide technical teams
 
 .
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 digital twins, IoT/OT data, and smart systems
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases.
 
 </li>
 <li>
 Knowledge of
 
 AI ethics, explainability, and regulatory compliance
 
 .
 </li>
 <li>
 Experience representing organizations at
 
 global conferences and industry summits
 
 .
 </li>
 </ul>
 
 
 
 
 
 Career Development &amp; Opportunities
 
 
 <ul>
 <li>
 Build and scale your own
 
 AI &amp; Data Science team
 
 .
 </li>
 <li>
 Define
 
 career plans and growth frameworks
 
 for your team members.
 </li>
 <li>
 Access to
 
 continuous training, certifications, and skill development programs
 
 .
 </li>
 <li>
 Opportunities to
 
 attend and present at global AI/tech events
 
 .
 </li>
 <li>
 Collaborate with
 
 top-tier technology partners and thought leaders
 
 .
 </li>
 </ul>
 
 
</div>

Lead AI & Data Science

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location:
 
 Egypt (Cairo).
 
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics
 
 
 .He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life
 
 
 
 
 
 
 .
 
 YOUR NEW KEY RESPONSIBILITIE
 
 
 
 
 
 <ul>
 <li>
 S:
 
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with
 </li>
 <li>
 AI.Integration of advanc
 
 ed AI featu
 
 res in
 
 to Power
 
 BI repor
 </li>
 <li>
 ts.Use of AI visuals like decomposition trees, key influencers, and Q&amp;
 </li>
 <li>
 ;A.Collaboration with business users to deliver intelligent, AI-powered dashboar
 </li>
 <li>
 ds.Embeddi
 
 ng machine learn
 
 ing models in
 
 to Power
 
 BI using Azure
 </li>
 <li>
 ML.Enabli
 
 ng predict
 
 ive analytics and NLP (Natural Language Processing) within repor
 </li>
 <li>
 ts.Participate in code and design reviews to maintain a high-quality codeba
 </li>
 <li>
 se.Collaborate across teams to help with AI adoption and best practic
 </li>
 </ul>
 
 
 
 
 
 es.
 
 ARE THESE YOUR SECRET INGREDIE
 
 
 
 
 
 <ul>
 <li>
 NTS?
 
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related f
 </li>
 <li>
 ield.3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence t
 </li>
 <li>
 ools.Proven experience developing AI-powered solution
 
 s in Pow
 
 er BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azur
 </li>
 <li>
 e ML.Strong understandin
 
 g of Power BI archite
 
 cture, DAX, Power Query, and data modeling best pract
 </li>
 <li>
 ices.Familiarity
 
 with Azure AI Serv
 
 ices (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Powe
 </li>
 <li>
 r BI.Experience
 
 with P
 
 ython and basic ML frameworks (e.g., scikit-learn) and model optimization in Powe
 </li>
 <li>
 r BI.Understandin
 
 g of natural language processing
 
 (NLP) and its application in business reporting is a
 </li>
 <li>
 plus.Hands-on experience
 
 with Azure Machine Learning, Databri
 
 ck
 
 s, or Synapse Anal
 
 ytics is beneficial &ndash; focus on data preparation pipelines that feed into Powe
 </li>
 <li>
 r BI.Comfortable workin
 
 g in Agile environ
 
 ments using tools like Azure De
 </li>
 <li>
 vOps.Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a
 </li>
 <li>
 plus.Strong analytical thinking, communication, and stakeholder collaboration sk
 </li>
 </ul>
 
 
 
 
 
 ills.
 
 ABOUT YOUR NE
 
 
 
 
 
 
 W 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
 
 
 impact.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 &ndash; for us and for you &ndash; when we O
 
 
 
 
 
 
 PEN UP.
 
 AT COCA-COLA HBC, DIVERSITY HELPS U
 
 
 
 
 
 
 S THRIVE
 
 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>

AI Developer

Capgemini

<div>
 
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 
 
 
 Job Description:
 
 
 
 We&rsquo;re looking for a Business Analyst to join our team at Capgemini.
 
 
 You&rsquo;ll work with data, reports, and business teams to help us make better decisions. The role involves analyzing data, preparing reports, and identifying ways to improve how we work and serve our customers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect and analyze data from different business areas.
 </li>
 <li>
 Create clear reports and dashboards using Power BI, Excel, or Tableau.
 </li>
 <li>
 Work with teams across the company (sales, marketing, finance, operations) to understand business needs.
 </li>
 <li>
 Identify trends, risks, and opportunities from data insights.
 </li>
 <li>
 Support forecasting and planning activities.
 </li>
 <li>
 Keep data accurate, organized, and easy to understand.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Data Analytics, Statistics, or a related field.
 </li>
 <li>
 2&ndash;5 years of experience in business or data analysis.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Strong skills in Excel, Power BI, Tableau, or SQL.
 </li>
 <li>
 Good understanding of business processes and KPIs.
 </li>
 <li>
 Attention to detail and strong analytical thinking.
 </li>
 <li>
 Good communication skills and teamwork attitude.
 </li>
 </ul>
</div>

Business Analytics Specialist

Foundever

<div>
 
 About Foundever &trade;
 
 
 
 Foundever&trade; is a global leader in the customer experience (CX) industry. With 170,000 associates across the globe, we&rsquo;re the team behind the best experiences for +750 of the world&rsquo;s leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.
 
 
 
 Job Summary
 
 
 
 A Conversational Designer for Chatbots and Voicebots is responsible for creating, designing, and optimizing the user interaction experience with AI-driven conversational interfaces. Their role involves understanding client issues and expected outcomes (efficiency, automation, reduction of AHT) and user needs. He/She is in charge of designing the conversation flow, scripting dialogues, and ensuring that the bot can understand and respond to user queries effectively and naturally. They work to make the interaction as human-like as possible, often employing principles of psychology, linguistics, and user-centered design. Additionally, they analyze conversation data to identify patterns, improve responses, and enhance overall resolution, user satisfaction and KPIs.
 
 
 
 
 Duties and Responsibilities
 
 
 
 
 Collaborate with the team (and in particular Tech/Dev and project manager) to establish the best customer experience to reach the outcomes
 
 
 Realize the assessment and conversational AI strategy
 
 
 Balance choices of technology (CAI/GEN AI, translation) to achieve CX outcomes in collaboration with project manager for alignment with budget validated by the client.
 
 
 Responsible for building conversational scenarios and flows
 
 
 Build proto persona, bot persona and tone of voice and make voice proposal fitting with the brand expectation for Voicebots
 
 
 Copywriting of the bot prompts
 
 
 Integration of flows on Cognigy in partnership with developer
 
 
 Elaborate bot testing phases, UX improvement, and bot training
 
 
 Participate actively in the KPI analysis, roadmap and continuous improvement of the bot
 
 
 The conversational designer is also in charge of the bot training and gen AI knowledge base reinforcement
 
 
 Enable the AI trainer to handle intent matching, lexicons, training questions and helps with the analytics evaluations. They should be in direct communication with the conversation designers or developers as they need to understand how the architecture of the agent works to improve the NLU. And they should also be able to detect when users are dropping off and evaluate options if anything needs to be adjusted within the conversation design
 
 
 Elaborate and maintain in time conversational flows architecture (Miro / X mind)
 
 
 Elaborate and integrate conversational content based on text
 
 
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 Brief the Creative Lead in case of visual content needs for Chatbots and ensure creative production is fully aligned with the brief
 
 
 Interact with tech/dev when integration and/or code is required to deliver the experience targeted
 
 
 Manage testing: adjust testing protocol model to the project, realize on-going testing of the experience built, identify testers, brief and coordinates testing with the project manager. Consolidate testing feed-back and integrate iterations with tech/dev.
 
 
 Adjust the testing material for client tests
 
 
 Consolidate test feedback under the supervision of Project Manager
 
 
 Integrate iterations asked by the client
 
 
 Contribute to the KPI analysis and make recommendations for improvement in run phase
 
 
 Integrate changes or evolutions validated by the client during the run
 
 
 Make the continuous training of the NLU / Reinforcement of the Knowledge AI or prompt engineering when using Gen AI.
 
 
 
 Qualifications
 
 
 
 Must have:
 
 
 Experience in technical Team and Project Management&mdash;with a proven track record of delivering multi-national medium/ large-scale BOT/ Conversational AI solutions with a minimum of 3-5 years of experience.
 
 
 Strong understanding of conversational UX and specificities of each channel: chat or voice.
 
 
 Strong understanding of Natural Language Processing
 
 
 Ability to take advantage of Gen AI capabilities and integrate it in conversational design when required
 
 
 Understanding of LLM functioning and RAG to optimize content for Knowledge AI content preparation for Generative AI = prompt engineering capabilities
 
 
 Deep understanding and analysis of CAI KPIs
 
 
 Perfect written and verbal communication
 
 
 Fluent in written and spoken English and German (C1 level minimum).
 
 
 
 Nice To Have
 
 
 
 A master's degree in UX design / conversational design or equivalent work experience
 
 
 Proficiency in Portuguese, Spanish, German, French or any other EU language.
 
 
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Conversational Designer - Fluent in German & English

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