Data Scientist

Data Scientist Overview

Anaplan is seeking a skilled Data Scientist to join our Functional Analytics team in London. Our team is dedicated to enhancing business decision-making through innovative AI-driven scenario planning and analysis. As a Data Scientist, you will play a crucial role in developing advanced machine learning models and analytic capabilities that integrate with Anaplan Applications, helping our clients navigate complex business challenges.

Key Responsibilities

• Lead the technical deployment of analytic engines for new clients, ensuring they are customized to meet specific business needs.
• Collaborate with customers, Customer Success, Product, and Engineering teams to adapt and refine machine learning models based on client-specific operational requirements.
• Design and develop scalable functional analytic capabilities that integrate seamlessly into Anaplan Applications, transforming raw customer data into actionable business insights.
• Create and implement robust machine learning models and deep learning frameworks to address complex forecasting challenges.
• Build and optimize data pipelines using a hybrid SQL/Python architecture to extract valuable insights from high-volume transactional data.
• Work with engineering teams to transition models from prototype to production, ensuring they are scalable and reliable.

Qualifications

• Proven professional experience in Data Science, with a track record of building and deploying systems from prototype to production in a dynamic environment.
• Strong foundation in predictive modeling, with extensive knowledge of traditional machine learning algorithms and deep learning frameworks.
• High proficiency in Python and experience with data manipulation libraries such as Pandas, along with modern software development practices.
• Hands-on experience with data modeling and optimization for contemporary data warehouses, utilizing SQL and transformation tools like dbt.
• Familiarity with scalable cloud infrastructures such as AWS, GCP, or Azure, and experience with columnar data formats like Parquet.
• Exposure to MLOps tools and frameworks for model training, tracking, deployment, and monitoring in production environments.

Benefits

• A commitment to diversity, equity, inclusion, and belonging within the workplace.
• Opportunities for professional development and career growth.
• A supportive environment that values individual uniqueness and contributions.

Degree Requirement: Not Specified

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