Lead Data Scientist - Microfinance
- Building the Data Science roadmap
- Putting data at the heart of business and decision-making
- Combining the world of finance and international business with Tech for Good
About our Customer
About Skillink
International microfinance group offering tailor-made financial services to facilitate the activity of entrepreneurs and traders.
Responsibilities
From the Holding company, you will work as part of the data team. Reporting to the Head of Data and working with all the business lines, you will have the opportunity to contribute to the development of the data function, by joining a multidisciplinary team (Data Engineer, Data Analyst, Data Scientist), in particular :
- Through the development and maintenance of Data Science products,
- Leading the team of Data Scientists,
- By spreading a Data Science culture throughout the group.
More specifically, you will :
Manage and participate in Data Science projects serving the business:
- Build and defend a Data Science strategy and roadmap to support the company's growth objectives, and propose changes,
- Develop and deploy predictive models using advanced analytical techniques (random forest, neural networks, etc.),
- Develop ML Ops principles within the team to secure and improve the integration and deployment of new models,
- Integrate and exploit new data sources to enhance decision-support tools (credit score, churn, etc.),
- Design decision-support tools and render results by developing ergonomic interfaces and powerful visualizations.
Data Science team leader :
- Functionally lead and coordinate Data Scientists on different projects, structuring their work and monitoring their progress, in line with the project roadmap,
- Manage the company's key Data Science projects, in line with business ambitions and the data roadmap,
- Define good working practices and methods; ensure they are properly applied and report any difficulties encountered to the team.
Spreading a Data Science culture within the Group :
- Develop Data Science activity in all subsidiaries, creating team processes, data models and business-oriented reporting, to optimally monitor activity and projects,
- Cultivate the research and development approach to modeling & scoring by keeping abreast of the state of the art and adopting a proactive approach,
- Evangelize the Group's various stakeholders on the effective use of data and the creation of value through predictive models.
Profile required
You have an MS or PhD in quantitative fields such as statistics, economics, mathematics and computer science.
You have at least 5 years' experience in data analysis, and must have project management experience. You have experience in credit scoring or modeling in the financial sector, serving retail or SME customers. You are fluent in R and/or Python. Experience of algorithm development on AWS/Google Cloud Platform would be a plus. Mastery of SQL and NoSQL (MongoDB) databases is required.
You demonstrate a strong business orientation and a willingness to serve the business lines, in order to support the company's growth and strategy. You have a real taste for teamwork.
Fluent English.