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Data Scientist - Job Opportunity at Kyriba Corp.

Paris, France
Full-time
Mid-level
Posted: January 24, 2025
On-site
EUR 55,000 - 75,000 annually based on Paris market rates for mid-level data scientists in fintech

Benefits

Professional Development Opportunities with mentorship from experienced professionals
International Work Environment in a leading SaaS company
Access to Industry-Leading Tools and Resources
Networking Opportunities within a Global Organization

Key Responsibilities

Design and implement machine learning models with direct impact on financial technology products
Drive strategic collaboration with business teams and clients for product optimization
Lead MLOps implementation and production deployment of models
Present analytical insights and recommendations to key stakeholders
Optimize data processes and methodologies
Contribute to MLOps best practices development

Requirements

Education

Master's degree in Data Science, Applied Mathematics, Statistics, or related field

Experience

Minimum 3 years of professional experience in Data Science

Required Skills

Python programming Advanced machine learning libraries Time series forecasting MLOps practices Excellent communication Strong team spirit Cross-departmental collaboration Intellectual curiosity Autonomy and initiative-taking
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Sauge AI Market Intelligence

Industry Trends

Financial technology sector is experiencing rapid AI adoption, particularly in treasury and cash management solutions Growing demand for ML-driven forecasting in enterprise liquidity management indicates a strategic shift in financial operations Increasing focus on MLOps practices reflects industry maturation in AI implementation

Role Significance

Likely part of a specialized data science team of 5-10 members within a larger technology organization
Mid-level position with significant technical autonomy and strategic input into product development

Key Projects

Time series forecasting for cash flow prediction Machine learning models for liquidity optimization MLOps infrastructure development Client-facing analytics solutions

Success Factors

Strong foundation in financial domain knowledge combined with ML expertise Ability to translate complex technical concepts for business stakeholders Experience with production-grade ML system deployment Collaborative approach to cross-functional team interaction

Market Demand

High demand with strong growth trajectory due to increasing adoption of AI in financial services and treasury management

Important Skills

Critical Skills

Machine learning expertise with focus on time series analysis Production ML system experience Financial domain understanding Strong communication abilities

Beneficial Skills

Cloud infrastructure knowledge Financial risk management understanding Agile development practices Data visualization expertise

Unique Aspects

Direct involvement in financial technology innovation
Exposure to enterprise-scale ML applications
Combination of technical depth and business impact

Career Growth

2-3 years in role before advancement opportunity, depending on project impact and leadership development

Potential Next Roles

Lead Data Scientist Machine Learning Engineering Manager AI Product Manager Technical Product Owner

Company Overview

Kyriba Corp.

Global leader in cloud-based Enterprise Liquidity Management solutions serving over 3,000 customers worldwide

Established market leader in treasury management technology with significant growth trajectory
Strong European presence with global operations and diverse client base
Innovation-focused environment with emphasis on technical excellence and client impact
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Data Sources & Analysis Information

Job Listings Data

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Sauge AI Market Intelligence

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

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