AI Data Scientist: Time Series & MLOps

Anaplan; Manchester; Remote; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

Anaplan seeks a versatile Data Scientist to join the Functional Analytics team. You will design and develop ML engines integrated into Anaplan Applications to solve enterprise problems, crafting scalable pipelines and actionable insights.

You’ll lead customer onboardings, customize ML models for client logic, and work with Data Science and Engineering partners to productionize models and maintain performance.

Qualifikationen

• Proven data science experience from prototype to production.
• Strong modeling with ML and time-series forecasting.
• Production-grade Python coding with CI/CD practices.
• Experience with Snowflake/Databricks data pipelines and dbt.
• Cloud experience (AWS/GCP/Azure) and Parquet data formats.

Aufgaben

• Lead technical deployment of ML engines for new clients with Customer Success and Engineering.
• Design scalable analytic capabilities that integrate into Anaplan Applications.
• Develop robust ML models for demand sensing and cold-start forecasting.
• Build scalable data pipelines (SQL/Python) to extract temporal signals from retail data.
• Collaborate with engineers to deploy production ML pipelines using MLOps tools.

Kenntnisse

Data Science

Predictive Modeling

Python Proficiency

Data Warehouses

Cloud Infra

MLOps

Time Series Forecasting

Supply Chain Knowledge

Quantitative Degree

Ausbildung

MS/PhD in CS/AI/Statistics/Data Science

Tools

LightGBM

XGBoost

PyTorch

dbt

Snowflake

Databricks

MLflow

Optuna

Jobbeschreibung

Anaplan seeks a versatile Data Scientist to join the Functional Analytics team. You will design and develop ML engines integrated into Anaplan Applications to solve enterprise problems, crafting scalable pipelines and actionable insights.

You’ll lead customer onboardings, customize ML models for client logic, and work with Data Science and Engineering partners to productionize models and maintain performance.