
10,000+ employees
Founded 1967
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
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10,000+ employees
Founded 1967
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
âą Develop, deploy, and maintain predictive and Machine Learning models âą Collaborate with stakeholders to identify business challenges and recommend data-driven solutions âą Support Customer Retention, Customer Routing, and Customer Experience optimization initiatives âą Enhance forecasting capabilities for Contact Center operations âą Identify, assess, and leverage relevant data sources to improve business outcomes âą Communicate findings, recommendations, and insights to technical and non-technical audiences âą Drive measurable business impact through advanced analytics and data science solutions âą Identify high-impact business problems and opportunities within the first six months âą Deliver predictive models and analytical solutions that generate measurable business value âą Establish strong partnerships with key stakeholders âą Improve forecasting accuracy and support strategic decision-making through data-driven insights
âą Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field âą Strong experience with SQL and data analysis on large, complex datasets âą Strong proficiency in Python for data science and model development âą Experience developing and implementing predictive models and Machine Learning solutions âą Knowledge of supervised learning techniques and classification models âą Experience with forecasting methodologies and predictive analytics âą Ability to translate business problems into analytical solutions âą Strong communication skills and experience managing stakeholder relationships âą Machine Learning (Supervised & Unsupervised) - Intermediate âą Communication skills - Advanced âą Problem Solving - Advanced âą Descriptive Statistics - Intermediate âą Hypothesis Testing - Intermediate âą Python - Intermediate âą SQL - Advanced âą Databricks âą Microsoft Suite âą Github âą Valid, local legal authorization to work in the country where the role is based at the time of hire âą No parallel employment, professional activities, or paid work for other entities during employment âą Disclosure and formal review of ownership, partnership, directorship, or participation in other businesses or companies
âą Competitive salary and performance-based bonuses âą Comprehensive benefits package âą Career development and training opportunities âą Flexible work arrangements (remote and/or office-based) âą Dynamic and inclusive work culture within a globally renowned group âą Private Health Insurance âą Pension Plan âą Paid Time Off âą Training & Development
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