Data Scientist

Salary: £52,000 - 92,000 per year Requirements: • Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. • Strong predictive modeling foundation, with extensive experience in traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. • Experience developing production-grade Python code, with high proficiency in Python, Pandas, and modern software practices such as testing, clean code, code review, and CI/CD. • Hands-on experience optimizing data models and access patterns for modern data warehouses such as Snowflake and Databricks, using SQL and transformation tools like dbt. • Experience working with scalable cloud infrastructure such as AWS, GCP, or Azure, and handling columnar data formats like Parquet. • Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production, such as MLflow, Optuna, Prefect, or Airflow. • Background in supply chain forecasting, enterprise AI, or retail analytics. • M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Responsibilities: • Lead the technical deployment of our engines for new clients. • Partner closely with customers, Customer Success, Product, and Engineering to adapt and customize ML models so they reflect client-specific business logic, operational guardrails, and data nuances. • Design and develop scalable functional analytic capabilities that integrate into Anaplan Applications and turn customer data into automated business insights. • Design, train, and implement machine learning and deep learning models focused on demand sensing and cold-start forecasting problems. • Build and optimize scalable data pipelines using a hybrid SQL/Python architecture, including dbt and Snowflake, to extract temporal signals from high-volume transactional retail data. • Partner with our engineers to transition models from prototype into scalable, monitored, and reliable production pipelines using MLOps tools. Technologies: • AI • Airflow • AWS • Azure • CI/CD • Cloud • Databricks • GCP • Machine Learning • MLflow • MLOps • Python • SQL • Snowflake • dbt • pandas • PyTorch More: At Anaplan, we are a team of innovators focused on optimizing business decision-making through our AI-infused scenario planning and analysis platform, helping our customers outpace their competition and the market. We serve more than 2,400 global companies, including many Fortune 50 brands such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer. Our Winning Culture champions diversity of thought and ideas, leadership at every level, ambitious goals, and celebration of wins big and small. We are committed to being strategy-led, values-based, and disciplined in execution, and we welcome everything that makes you unique. We also emphasize diversity, equity, inclusion, and belonging, and we provide reasonable accommodation for candidates and employees with disabilities. last updated 40 week of 2026