As a Mid-Level Data Scientist – Machine Learning & Analytics, you will be working for our client, a major player in the online banking sector that develops advanced data-driven solutions supporting digital financial services. In this role, you will contribute to projects focused on process mining, churn prediction, fraud detection, and natural language processing. The client is building product-oriented analytical capabilities and seeks a professional who combines strong statistical and machine learning expertise with business understanding and engineering skills to turn complex data into scalable, high-impact solutions used across the organization.
Unleash the power of data — drive innovation through intelligent modeling!
Warsaw-based opportunity with hybrid work model (2 days in the office/month).
Only candidates with an existing legal right to work in the European Union will be considered for this role.
responsibilities :
Develop machine learning models supporting fraud detection, churn analysis, NLP, and process mining initiatives.
Analyze large datasets to identify patterns, trends, and opportunities for improving banking products and services.
Translate business problems into analytical and machine learning solutions.
Identify and acquire relevant data sources within and outside the organization.
Design and implement data pipelines and model workflows for production environments.
Collaborate with business stakeholders to define product vision and analytical use cases.
Present insights, models, and recommendations to technical and non-technical partners.
Improve existing models and analytical solutions through experimentation and evaluation.
requirements-expected :
At least 4 years of professional experience in data science or analytics.
Strong knowledge of machine learning concepts and statistical modeling.
Proficiency in Python for data analysis and modeling (NumPy, SciPy, Pandas, Matplotlib or similar libraries).
Solid SQL skills and experience working with relational databases.
Experience building and evaluating machine learning models in production or near-production environments.
Ability to understand business problems and translate them into analytical solutions.
Experience working with big data technologies such as Hadoop or Apache Spark.
Knowledge of Java or Scala for data processing or machine learning workflows.
Basic skills in DevOps / Linux Administration.
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
benefits :
sharing the costs of sports activities
private medical care
flexible working time
fruits
integration events
corporate gym
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
