Specialist Data Scientist, Actimize

Role Overview

We are seeking a seasoned Data Scientist with a strong track record of turning state-of-the-art Generative AI and classical ML techniques into production value. The Specialist Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems in the fraud prevention domain.

Responsibilities

• Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment.
• Design and develop predictive and generative models to extract actionable insights from large and complex datasets.
• Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
• Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs.
• Mentor and upskill junior data scientists, champion best practices in code quality, experimentation, and documentation.
• Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred.
• Minimum of 5 years of hands-on experience in data science and machine learning, with at least 1 year of experience in Generative AI development.
• Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries.
• Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning.
• Strong understanding of LLMs, Agentic Architectures and evaluation methods for generative outputs.
• Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains.
• Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
• Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects.

Preferred Qualifications

• Experience working in industries such as finance, banking.
• Familiarity with cloud computing platforms and related services for building and deploying machine learning models.
• Knowledge of data visualization tools for creating interactive dashboards and reports.
• Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.
• Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.
• Hands-on experience with vector databases and embedding techniques.

Benefits

Join an ever-growing, market disrupting, global company where the teams work in a fast-paced, collaborative, and creative environment! As the market leader, every day is a chance to learn and grow, with endless internal career opportunities across multiple roles, disciplines, domains, and locations.

Work Model

Enjoy a hybrid work model with 2 days working from the office and 3 days of remote work each week.