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data analyst

data scientist 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 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

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

Data Scientist

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Microsoft

<div>
 Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.
 
 
 We are seeking an
 
 Applied Scientist II
 
 who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise Development: Gain deep knowledge of our recommendation systems, platforms, and domains, staying updated with the latest industry trends and applied technologies in ML, AI and LLMs to Recommendations.
 </li>
 <li>
 Mentorship and Team Support: Reinforce a positive environment, support mentorship, and assist with onboarding of early in career team members.
 </li>
 <li>
 Documentation and Ethics: Document work in progress, share findings to promote innovation, present to stakeholders, and follow ethics and privacy policies during research processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years of experience with machine learning, data analysis, and modeling.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
 </li>
 <li>
 Experience in the shopping domain and recommendation systems.
 
 </li>
 </ul>
 #MicrosoftAI #Shopping #GenerativeAI #LLM
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Applied Scientist II

<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

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

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