{"id":3252213,"url":"https://alion.io/job/capgemini-data-scientist-18","title":"Data Scientist","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1835,"ghost_share":0.001,"stale_share":0.798,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8000,"max_usd":22000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-25T14:36:15Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-28T05:49:08Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nAbout Company:\nChoosing Capgemini means choosing a company where you will be empowered to shape your career according to your aspirations. With the support and inspiration of a global community of experts, you will be able to reimagine your future. Join us to redefine the boundaries of what is possible, help unlock the value of technology for leading organizations, and contribute to building a more sustainable and inclusive world.\nYour Role & Responsibilities:\nWe are seeking an Data Scientist to join our growing team in Egypt. In this role, you will be responsible for identifying business opportunities, analyzing processes, gathering requirements, and translating business needs into AI-driven solutions. You will collaborate with clients, stakeholders, AI architects, data scientists, and cross-functional teams to drive successful AI transformation initiatives and deliver measurable business value.\nAs a Data Scientist, your main responsibilities will include:\nAnalyze large and complex datasets to identify trends, patterns, and actionable business insights.\nDesign, develop, train, and deploy machine learning and predictive models to solve business challenges.\nApply statistical analysis, data mining, and advanced analytics techniques to support decision-making.\nCollaborate with business stakeholders to understand requirements and translate them into analytical solutions.\nWork closely with Data Engineers and AI teams to build scalable data pipelines and production-ready models.\nEvaluate, optimize, and monitor model performance while ensuring accuracy, reliability, and business relevance.\nDevelop visualizations, dashboards, and reports to communicate findings to technical and non-technical audiences.\nStay current with emerging trends and technologies in Data Science, Machine Learning, Generative AI, and Advanced Analytics.processes, challenges, and opportunities to identify AI and Generative AI use cases that drive business value. \nYour Profile:\nBachelor's or Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.\n4+ years of relevant professional experience in Data Science, Machine Learning, Advanced Analytics, or related roles.\nStrong experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.\nProven experience developing, training, validating, and deploying machine learning models in production environments.\nStrong knowledge of statistical analysis, predictive modeling, feature engineering, and data preparation techniques.\nExperience working with SQL and large-scale structured and unstructured datasets.\nFamiliarity with cloud platforms and data ecosystems such as Azure, AWS, or Google Cloud is a plus.\nExcellent analytical, problem-solving, communication, and stakeholder management skills with fluent English communication.degree in Business Administration, Information Systems, Computer Science, Engineering, Finance, or a related field.\nWhy Join Us?\nMeaningful Impact: Contribute to innovative projects that help clients achieve their business and technology transformation goals.\nProfessional Growth: Access continuous learning opportunities, certifications, mentorship, and career development programs.\nGlobal Exposure: Collaborate with diverse teams, clients, and stakeholders across industries and geographies.\nCutting-Edge Projects: Work with leading technologies, methodologies, and business solutions.\nCollaborative Culture: Join an inclusive, supportive, and people-centric work environment.\nOur Commitments and Priorities:\nAt Capgemini, we foster an inclusive culture within a diverse and multicultural environment. By joining us, you become part of a team that values diversity, develops talent, supports social impact initiatives, and actively contributes to reducing environmental impact across our operations and client engagements.\nCapgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable future. 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