DescriptionYou Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong!Join Team Amex and let's lead the way together!Within this role you will be encouraged to provide strategic guidance and leadership using Machine Learning / Advanced Analytics across multiple operating areas within GSE including unstructured text mining and structured data mining to help business imperatives.How will you make an impact in this role?Apply machine learning & natural language processing to uncover patterns, trends, and opportunities in large datasets, translating findings into practical recommendations.Lead, mentor, and develop a hard-working team of data scientists, providing mentorship, support, and encouraging a collaborative and innovative environment.Collaborating actively with directors and setting clear goals and objectives, supervise team performance, and provide constructive feedback to ensure the team's success.Establish best practices, processes, and methodologies for data science projects and ensure adherence to quality standards.Stay abreast of the latest advancements and trends in data science, machine learning, and artificial intelligence, evaluating their potential impact on the organization's data strategy.Minimum Qualifications:Previous experience in a Data Science or Machine Learning based role.Expertise in machine learning, statistical modeling, and sophisticated analytics techniques, with experience in areas such as regression, classification, clustering, time series analysis.Relevant work experience with natural language processing projects and hands-on experience with techniques like POS tagging, NER, word2vec, document classification, sentiment analysis etc.Proficiency in Python & SQL.Strong business acumen and the ability to translate business objectives into data science initiatives and actionable insights.Effective communication and stakeholder management skills, with the ability to convey technical concepts to both technical and non-technical audiences.Bachelors degree in a quantitative field like engineering, mathematics, statistics or operations research is a must. Masters in a relevant field will be an added advantage.Preferred Qualifications:Knowledge of PySpark, Hive & other big data tools & techniques.Experience with data visualization tools, such as Tableau, Power BI, or similar tools, to efficiently communicate complex analyses and insights.QualificationsWe back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:Competitive base salariesBonus incentivesSupport for financial-well-being and retirementComprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)Flexible work arrangements and schedules with hybrid and virtual options with Amex FlexGenerous paid parental leave policies (depending on your location)Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)Free and confidential counseling support through our Healthy Minds programCareer development and training opportunitiesOffer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.To complete your application, please click on the links below. However, if you require any assistance with the completion of this process – or need any reasonable adjustments to be made – then please contact the Recruitment Team on recruitment.support.uk@aexp.comJob Field: MISSchedule: Full-time