Data Scientist, Digital Finance Transformation (PEPI)

Alvarez & Marsal; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Alvarez & Marsal (A&M) is seeking an Associate or Senior Associate for the Digital Finance Transformation within PEPI to modernize finance data environments and automate processes.

You will combine advanced Python and SQL skills with knowledge of finance operations, working directly with CFOs, Controllers, and FP&A leaders to design and operationalize analytics-driven solutions that improve transparency and scalability.

Qualifications

• 3–6 years of professional experience; consulting or professional services preferred.
• Advanced Python programming experience with machine-learning libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
• ETL/orchestration tools experience (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
• Develop lightweight finance applications using Streamlit or Retool.
• Solid understanding of finance and accounting concepts, including forecasting, working-capital management, and three-statement modeling.
• Exceptional communication and collaboration skills; ability to translate between finance and technology teams.
• Ability to travel as required.

Responsibilities

• Join PEPI Digital Finance Transformation to accelerate digital enablement within finance.
• Modernize data environments and automate processes.
• Build analytics-driven tools that create measurable business impact.
• Collaborate with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize solutions.

Skills

Python

SQL

Communication

Finance knowledge

Travel willingness

Tools

Snowflake

Databricks

Azure Synapse

Microsoft Fabric

Dagster

Temporal

Azure Data Factory

AWS Glue

Fivetran

Matillion

Streamlit

Retool

Job description

Alvarez & Marsal (A&M) is seeking an Associate or Senior Associate for the Digital Finance Transformation within PEPI to modernize finance data environments and automate processes.

You will combine advanced Python and SQL skills with knowledge of finance operations, working directly with CFOs, Controllers, and FP&A leaders to design and operationalize analytics-driven solutions that improve transparency and scalability.