Senior Data Scientist - Financial AI & Analytics

TALENTO, INC.
United States
1 day ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$16,800.0 - $27,300.0
Working hours
Regular working hours
Languages
English, Polish
Job source

Tech stack

Artificial Intelligence Big Data Computer Programming Apache Hadoop Python (Programming Language) Machine Learning Tensorflow SQL Databases Apache Spark Pandas Scikit Learn Data Analytics
+1 more
Data Management

Job description

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 insightsDesign, develop, and validate predictive and prescriptive models to support financial decision-makingConduct research experiments combining statistical methods with AI algorithmsCollaborate with stakeholders to translate business needs into effective data-driven solutionsImplement machine learning models in production environments and monitor their performanceDocument methodologies, results, and recommendations clearly and comprehensivelyWork alongside cross-functional teams including analysts, engineers, and business managersEnsure compliance with financial regulations and data privacy standardsStay updated with emerging AI and data science techniques and apply them practicallyYou’re ideal for this role if you have:Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar roleProven expertise working with large datasets in financial or banking sectorsStrong programming skills in Python, with experience using Pandas, Scikit-learn, TensorFlow, or PyTorchSolid understanding of statistics, probability, and mathematical modelingHands-on experience deploying machine learning models in productionKnowledge of SQL and working with relational databasesFamiliarity with big data tools, 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 insightsDesign, develop, and validate predictive and prescriptive models to support financial decision-makingConduct research experiments combining statistical methods with AI algorithmsCollaborate with stakeholders to translate business needs into effective data-driven solutionsImplement machine learning models in production environments and monitor their performanceDocument methodologies, results, and recommendations clearly and comprehensivelyWork alongside cross-functional teams including analysts, engineers, and business managersEnsure compliance with financial regulations and data privacy standardsStay updated with emerging AI and data science techniques and apply them practicallyYou’re ideal for this role if you have:Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar roleProven expertise working with large datasets in financial or banking sectorsStrong programming skills in Python, with experience using Pandas, Scikit-learn, TensorFlow, or PyTorchSolid understanding of statistics, probability, and mathematical modelingHands-on experience deploying machine learning models in productionKnowledge of SQL and working

Requirements

and platforms such as Spark, Hadoop, or cloud servicesAbility to design experiments and employ advanced analytical techniquesExcellent communication skills to present insights clearly to both technical and non-technical audiencesFluent command of English (both written and spoken)It is a strong plus if you have: (optional)Certifications related to data science or AIExperience with financial regulation compliance in analytics projectsEligibility to work in Europe:Only candidates with an existing legal right to work in the European Union will be considered for this role.#MAKEYourCareerBETTERInterested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data., with relational databasesFamiliarity with big data tools and platforms such as Spark, Hadoop, or cloud servicesAbility to design experiments and employ advanced analytical techniquesExcellent communication skills to present insights clearly to both technical and non-technical audiencesFluent command of English (both written and spoken)It is a strong plus if you have: (optional)Certifications related to data science or AIExperience with financial regulation compliance in analytics projectsEligibility to work in Europe:Only candidates with an existing legal right to work in the European Union will be considered for this role.#MAKEYourCareerBETTERInterested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.

Benefits & conditions

5 896 $/month

Your offer

5 200 $25%

6 719 $median

8 782 $75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all