Data Scientist Finance - Management Control - Freelance (M/F)

France | Nov. 5, 2026

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Company: Collective.work

Country: France

Type: Onsite

Employment: Full-time

Description: Daily rate (TJM): 650Our client is looking for a Finance Data Scientist - Management Control (M/F) as part of a freelance mission. Within a financial institution specializing in factoring, leasing and real estate financing, the mission is part of the transformation of Finance, Accounting and Management Control processes. The objective is to mobilize dual Data Science (Python) and Management Control expertise in order to make financial data more reliable, automate the processing and develop performance management tools.- Automate and secure processing linked to monthly closing.- Design and industrialize pre-calculated financial indicators.- Build and make Finance data marts more reliable in a Data Lake environment.- Analyze and explain discrepancies between actual, budget, forecast and N-1.- Make reconciliations between accounting and management and analyze accrual accounts.- Develop a management and reporting tool using Qlik Sense.- Produce analyzes explanatory and predictive to improve financial management.- Document the treatments and solutions developed. Deliverables- Finance Datamarts usable for analysis.- Pre-calculated financial indicators.- Control tool under Qlik Sense.- Documentation of the treatments and solutions developed. Confirmed experience as a Data Scientist, with mastery of Python applied to financial issues.- Expertise in Python development- Functional expertise in Management Control, particularly on budgetary, forecast and closing processes monthly.- Experience with financial performance indicators and analysis of variances achieved / budget / N-1.- Experience with Data Finance projects involving the reliability and industrialization of financial data. Skills required in the mission- PySpark and advanced SQL.- Dataiku.- RStudio / RShiny.- Qlik Sense.- HDP / Big Data environment.- Data Lake and datamarts. Significant volume of face-to-face work in Paris intramural imposed because of the high sensitivity of the data processed.

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