Finance Data Scientist: ML Forecasting & Planning

Accenture UK; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Accenture is hiring a Finance Data Scientist in the UKI region to advance forecasting capabilities from driver-based planning to ML-driven forecasting. You will own models from framing to deployment, working with FP&A and finance stakeholders to deliver decision-ready insights.

The role focuses on time-series forecasting, multi-source data handling, model validation and integration into planning cycles, with opportunities to impact cash, profitability and risk metrics.

Qualifications

• Depth in time series and forecasting methods, including seasonality and external regressors.
• Python and the analytical stack with production deployment, plus SQL, Git, testing and reproducible pipelines.
• Experience with large, multi-source datasets and data-quality risk checks in forecasting pipelines.
• Ability to explain model behaviour to a finance audience and discuss uncertainties.
• Ability to align models with planning calendars and adoption workflows with stakeholders.

Responsibilities

• Build forecasting models on client financial and operational data using classical, econometric, ML or deep-learning approaches.
• Prepare and validate multi-source data; engineer drivers; address seasonality and hierarchical relationships.
• Design back-testing and time-series cross-validation; evaluate accuracy, bias, stability and business impact.
• Run scenario and sensitivity analyses to CFO-level standards, including confidence intervals and interventions.
• Produce variance explanations and commentary for FP&A and plan-versus-actual analyses.
• Integrate models into client planning cycles and EPM platforms; collaborate with Data/ML engineers.

Skills

Time series forecasting

Python

SQL

Git

Forecast evaluation

Data pipelines

Explainability

Tools

Databricks

Snowflake

Azure ML

SageMaker

Vertex AI

Job description

Accenture is hiring a Finance Data Scientist in the UKI region to advance forecasting capabilities from driver-based planning to ML-driven forecasting. You will own models from framing to deployment, working with FP&A and finance stakeholders to deliver decision-ready insights.

The role focuses on time-series forecasting, multi-source data handling, model validation and integration into planning cycles, with opportunities to impact cash, profitability and risk metrics.