Ekimetrics

Financial Planning and Analysis

• Develop management indicators and dashboards (P&L, Balance Sheet, Cash Flow)
• Monitor cash flow in collaboration with the Finance and Sales Administration teams
• Prepare the ad hoc analyses required for ongoing projects
• Prepare presentations for the Executive Committee
• Assist with calculating Ekimetrics Group revenue and its projections
• Engage project managers in profitability monitoring by rolling out a weekly process across all entities
• Collaborate with Laure Salle, CFO of Ekimetrics France, and Dimitri Chendjou Fotso, Deputy CFO of Ekimetrics France

Finance Internship – Financial Controlling

• Prepare management indicators and dashboards (P&L, balance sheet, cash flow) for the Group
• Monitor Group and Holding company cash positions
• Implement cash flow dashboards in the Microsoft Dynamics 365 ERP system
• Prepare the ad hoc analyses required for ongoing projects
• Actively participate in budget consolidation activities
• Participate in month-end closing activities
• Support the preparation of the consolidated Group Board pack
• Reconcile intercompany transactions
• Develop a cross-functional understanding of the company’s business lines
• HR interview with a Talent Acquisition Specialist
• Final interview with the Group Finance Manager

Finance Internship – Management Control

Machine Learning Engineer

• Spend 50% of your time on R&D projects within the Innovation team and 50% on client projects within the Data & Transformation Services team
• Translate business needs into technical problems and define measurable objectives
• Work with senior team members and managers to identify appropriate technical solutions
• Conduct AI research
• Collaborate with data engineers to collect, clean, and preprocess data
• Conduct exploratory analyses using relevant visualizations
• Develop and deploy machine learning models
• Optimize existing models and design new approaches
• Follow coding best practices to industrialize models with Solution experts
• Present technical findings to the team and clients
• Collaborate with different teams to integrate solutions
• Share knowledge internally and provide expert support
• Keep up to date with technological advances and industry trends in data science and machine learning

AI/ML Engineer – 50% Client Projects, 50% R&D

Data Scientist

• Manipulate and clean databases using tools such as Python and/or Excel
• Analyze data and develop econometric and Bayesian statistical models
• Analyze and develop marketing strategy and media optimization using models
• Contribute to the development of deliverables
• Present recommendations to clients
• Combine econometrics, economics, statistics, applied mathematics, and programming to solve business challenges
• Develop expertise in strategy, consulting, and marketing to support clients

Finance Internship – Financial Controlling

Finance Internship – Management Control

AI/ML Engineer – 50% Client Projects, 50% R&D

Business Data Scientist – Marketing Effectiveness