Data Scientist Product Analyst Intern Algorithm to do log normalization using ML/AI on big data (6 months)

DATA SCIENTIST, PRODUCT ANALYST INTERN - ALGORITHM TO DO LOG NORMALIZATION USING ML/AI ON BIG DATA (6 MONTHS) Montpellier - France JOB TITLE: Data Scientist, Product Analyst Intern - Algorithm to do log normalization using ML/AI on big data (6 months) LOCATION: Montpellier, France ABOUT SCHLUMBERGER: We are Schlumberger, the leading provider of technology and services to the energy industry. Throughout much of the oil and gas lifecycle in over 120 countries; we design, develop, and deliver technology and services that transforms how work is done. We define the boundaries of the industry by unleashing our talented people’s energy. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it. JOB SUMMARY: You will have the responsibility to understand the challenges when it comes to performing log normalization and to translate this into an efficient scalable algorithm usign AI/ML approach and design. As a data scientist you will work in an autonomous manner, supported by technical experts, product owner and domain experts. ESSENTIAL RESPONSIBILITIES AND DUTIES: You will have the responsibility to understand the challenges when it comes to performing log detph shifting and to translate this into an efficient scalable algorithm using AI/ML approach and design. As a data scientist you will work in an autonomous manner, supported by technical experts, product owner and domain experts. QUALIFICATION: * Final year COMPETENCIES: * Strong problem-solving skills and technical judgment * Python 3 * Data scientist skills / good knowledge in ML / AI * Petrophysics / geology skills * Good English communication skills * Spark, Argo, Kubernetes Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.