Senior Data Scientist – Financial AI & Analytics

Talanto; Poland; Hybrid; PLN 187,000 - 305,000; Full time

Job summary

Talanto, Poland-based, seeks a Senior Data Scientist – Financial AI & Analytics to drive advanced analytics and AI solutions in a highly regulated financial environment.

You will design models, analyze large datasets, and collaborate with cross-functional teams to translate business needs into data-driven strategies. Fluency in English and production deployment experience are essential.

Qualifications

• Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar role.
• Proven expertise working with large datasets in financial or banking sectors.
• Strong programming skills in Python, with experience using Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of statistics, probability, and mathematical modeling.
• Hands-on experience deploying machine learning models in production.
• Knowledge of SQL and working with relational databases.
• Familiarity with big data tools and platforms such as Spark, Hadoop, or cloud services.
• Ability to design experiments and employ advanced analytical techniques.
• Excellent communication skills to present insights clearly to both technical and non-technical audiences.
• Fluent command of English (both written and spoken).

Responsibilities

• Analyze large, complex datasets to identify patterns and generate actionable insights.
• Design, develop, and validate predictive and prescriptive models to support financial decision-making.
• Conduct research experiments combining statistical methods with AI algorithms.
• Collaborate with stakeholders to translate business needs into effective data-driven solutions.
• Implement machine learning models in production environments and monitor their performance.
• Document methodologies, results, and recommendations clearly and comprehensively.
• Work alongside cross-functional teams including analysts, engineers, and business managers.
• Ensure compliance with financial regulations and data privacy standards.
• Stay updated with emerging AI and data science techniques and apply them practically.

Skills

Python

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Big data tools

Tools

Spark

Hadoop

Cloud services

Job description

16,800 – 27,300 PLN

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Unleash the future of finance with AI-driven insights — shape smarter decisions today!

Poland-based opportunity with hybrid work model.

As a Senior Data Scientist – Financial AI & Analytics, you will be working for our client, a global leader in the financial services industry. In this role, you will drive innovation by developing advanced analytics and AI solutions that transform financial decisions. Your work will empower data-driven strategies across key business areas, leveraging cutting-edge methodologies to deliver actionable insights and optimize processes in a highly regulated environment. Join us and be part of a team shaping the future of financial technology!

Your main responsibilities:

• Analyze large, complex datasets to identify patterns and generate actionable insights
• Design, develop, and validate predictive and prescriptive models to support financial decision-making
• Conduct research experiments combining statistical methods with AI algorithms
• Collaborate with stakeholders to translate business needs into effective data-driven solutions
• Implement machine learning models in production environments and monitor their performance
• Document methodologies, results, and recommendations clearly and comprehensively
• Work alongside cross-functional teams including analysts, engineers, and business managers
• Ensure compliance with financial regulations and data privacy standards
• Stay updated with emerging AI and data science techniques and apply them practically

You're ideal for this role if you have:

• Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar role
• Proven expertise working with large datasets in financial or banking sectors
• Strong programming skills in Python, with experience using Pandas, Scikit-learn, TensorFlow, or PyTorch
• Solid understanding of statistics, probability, and mathematical modeling
• Hands‑on experience deploying machine learning models in production
• Knowledge of SQL and working with relational databases
• Familiarity with big data tools and platforms such as Spark, Hadoop, or cloud services
• Ability to design experiments and employ advanced analytical techniques
• Excellent communication skills to present insights clearly to both technical and non-technical audiences
• Fluent command of English (both written and spoken)

It is a strong plus if you have: (optional)

• Certifications related to data science or AI
• Experience with financial regulation compliance in analytics projects

Eligibility to work in Europe:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.