Finance Data Scientist: ML Forecasting for CFO-Level Decisions

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

Job summary

Accenture in the UK is seeking a Finance Data Scientist to advance forecasting capabilities within the UKI Finance RP. You will own models from framing through production, collaborating with Planning & Performance Management to align with CFO priorities and ensure decision-ready outputs.

You will work with finance and data engineers to build robust time series models, validate with back-testing, and integrate into planning cycles.

Qualifications

• Deep experience in time series forecasting across classical and modern methods.
• Proficient Python data stack and production pipelines.
• Strong forecast evaluation and cross-validation knowledge.
• Experience with large, multi-source datasets and data-quality checks.
• Ability to explain model decisions to finance audiences.

Responsibilities

• Build forecasting models on client financial data across revenue, cost, cash.
• Prepare and validate multi-source data and engineer drivers.
• Design back-testing and time-series cross-validation with benchmarks.
• Run scenario and sensitivity analyses for CFO-level questions.
• Produce variance explanations and commentary for FP&A.
• Integrate models into planning cycles and EPM platforms.
• Document methods and validate business impact.

Skills

Time series forecasting

Python stack

Forecast evaluation

Large datasets handling

Stakeholder communication

Tools

Python

SQL

Git

Job description

Accenture in the UK is seeking a Finance Data Scientist to advance forecasting capabilities within the UKI Finance RP. You will own models from framing through production, collaborating with Planning & Performance Management to align with CFO priorities and ensure decision-ready outputs.

You will work with finance and data engineers to build robust time series models, validate with back-testing, and integrate into planning cycles.