Related keywords: data scientist remote jobdata analytics remote jobremote job finance
Madiff, a global enterprise analytics and optimisation platform, is seeking to hire a Data Scientist for a full-time remote position. This role is focused on portfolio optimization and customer analytics within a banking environment, providing a unique opportunity to work on various data-related tasks that affect business strategy and finance.
The responsibilities of the Data Scientist will be varied and impactful:
Develop models for portfolio optimisation and customer lifetime value.
Analyze customer behavior, profitability drivers, and retention patterns to understand better how customers interact with financial products.
Apply advanced techniques such as statistical modeling, machine learning, and optimization to generate actionable insights.
Translate strategic business inquiries into structured analytical solutions that can inform decision-making.
Prepare and validate datasets necessary for modeling and conducting scenario analysis, ensuring the accuracy of the data used.
Collaborate closely with finance, pricing, and strategy stakeholders to align analytical outputs with business objectives.
Expose analytical outputs to downstream systems, integrating them into workflows supported by GenAI technologies.
Ensure model robustness, consistency, and governance alignment in all analytical outputs produced, maintaining high-quality standards.
To qualify for this position, candidates must possess certain skills and experiences:
Strong hands-on experience in data science and advanced analytics, showcasing a proven record in extracting valuable information from data.
Proficiency in Python and familiarity with common data science libraries such as Pandas, NumPy, and scikit-learn for effective data manipulation and analysis.
Experience with techniques in time series modeling and various optimization methods that are critical for the role.
Strong SQL skills are necessary for managing large analytical datasets, allowing for efficient querying and data processing.
Demonstrated experience on analytics platforms like Databricks or similar, which is crucial for working within an enterprise context.
The ability to translate business objectives into quantitative models effectively, maintaining the balance between technical analysis and business needs.
Experience working within structured enterprise environments to navigate corporate dynamics effectively.
Fluent English is required for professional collaboration, ensuring clear communication across teams.
While not required, the following skills will be advantageous:
Experience in banking, financial services, or direct exposure to portfolio analytics will be beneficial in understanding the context of the work.
Familiarity with pricing, capital allocation, or customer value modeling to enhance the depth of analytics.
Experience in integrating analytical outputs into automated decision workflows, further aligning with technology trends in data usage.
Knowledge of LangChain and LangGraph for analytical orchestration indicates a forward-thinking mindset in leveraging analytical outputs.
The position offers several enticing benefits for prospective candidates:
A competitive salary that reflects the candidate's skills and experience, promoting financial well-being.
An opportunity to work in a multinational environment on international projects, allowing for professional growth and networking.
Comprehensive healthcare coverage, ensuring employees are supported health-wise.
A long-term B2B contract that comes with a stable project pipeline, fostering job security and continuity of work.
The flexibility of a remote work model enables work-life balance while contributing to significant projects from any location.
In summary, this is an exceptional opportunity for skilled data scientists who are prepared to take on challenges in portfolio optimization and customer analytics. With Madiff being an established name in the banking sector analytics, candidates will find themselves in a role where their contributions directly impact strategic decisions and customer success in various markets. The combination of a competitive salary, remote work capabilities, and the chance to work on international projects makes this position highly attractive to job seekers in the data science field.
This job offer was originally published on jobicy.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
