Data Scientist (Pol)

Data Scientist (Pol)

07 sep
|
Williams Lea
|
Pol

07 sep

Williams Lea

Pol

Data Scientist

Salary: 200,000 PCN per annum, plus company benefits

Location: Warsaw, Poland

Contract: Full Time

Shifts: 40 hours per week, Monday - Friday, 8.30am until 5:30pm with 1 hours unpaid lunch break

Work model: Hybrid

Williams Lea seeks a Mid Level Data Scientist to join our team

Williams Lea is the leading global provider of tech-enabled business and marketing services helping clients manage and transform processes through resilient, scalable 24/7 operations. We combine deep expertise, agentic AI-imbedded workflows, and a global delivery model into a tech-enabled, seamless human expert-in-the-loop experience that helps clients achieve superior business outcomes.

Built on a strong heritage and great client relationships, we harness deep industry expertise, emerging technology and our general “Optishore” delivery model to plan, build, execute and measure business processes, driving operational agility and digital transformation at speed and scale.

Williams Lea, an RRD company,



serves clients in 20 countries across four continents and has 15,000 employees worldwide.

Purpose of role

The recruitment process will involve an initial 45 minutes MS teams interview to understand suitable skills and experience, successful applicant will be invited to a 45 minutes technical assessment which will involve a deployment/coding followed by panel questions and answers.

Keyresponsibilities
- Perform exploratory data analysis (EDA), feature engineering, data transformation, and statistical analysis on structured and unstructured datasets.
- Develop predictive models, classification models, regression models, NLP solutions, and AI-driven workflows.
- Work on LLM integrations, prompt engineering, RAG pipelines, and AI powered automation solutions.
- Build and evaluate ML models using Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, or Hugging Face frameworks.
- Analyze model performance using appropriate evaluation metrics and continuously improve model accurac

📌 Data Scientist (Pol)
🏢 Williams Lea
📍 Pol

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