Data Scientist

Data Scientist

Salary: 200000 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 global 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 continentsand has 15000 employees worldwide.

Purpose of role

We are seeking an experienced Mid-Level Data Scientist with a minimum of 4 years of experience in Machine Learning Artificial Intelligence and advanced analytics to develop scalable AI-driven solutions for enterprise and client-facing applications. The role involves working on predictive modelling Generative AI use cases data analysis feature engineering experimentation and AI systems across cloud environments. The ideal candidate should possess strong expertise in statistical modelling Machine Learning algorithms Python programming cloud platforms and data-driven problem-solving with the ability to collaborate across business and technical teams.

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.

Key responsibilities

• Design develop and optimize Machine Learning and Generative AI models for enterprise applications.
• 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 accuracy and stability.
• Collaborate with ML Engineers Platform Teams Product Owners Solution Architects and Business Stakeholders
• Support production deployment activities model validation monitoring and troubleshooting.
• Work with cloud platforms including AWS and/or Azure for AI/ML workloads.

Personal attributes

• Bachelors or masters degree in computer science Data Science Artificial Intelligence Statistics Mathematics or a related field.
• Minimum 4 years of experience in Data Science Machine Learning or AI related roles.
• Strong proficiency in Python programming and data science libraries such as Pandas NumPy and Scikit-learn.
• Strong understanding of Machine Learning algorithms statistics probability and data modeling techniques.
• Experience in NLP Generative AI LLMs or advanced analytics solutions.
• Hands-on experience with cloud platforms such as AWS and/or Azure.
• Experience with SageMaker Bedrock Azure ML or equivalent AI/ML platforms is preferred.
• Understanding of ML lifecycle experimentation model evaluation and production monitoring.
• Experience working with SQL APIs and large-scale datasets.
• Knowledge of MLOps CI/CD Docker or cloud deployment workflows is an advantage.
• Strong analytical thinking communication and stakeholder management skills.

Using AI in your application

Were happy for you to use AI tools to research us polish your cv/cover letter and practice interviews. Please make sure everything you submit reflects your authentic skills and experience.

To keep things fair please dontuse AI to invent or exaggerateachievements complete assessments(unless we say its allowed) or to generate live interview answers.

Rewards and Benefits

We believe in supporting our employees in both their professional and personal lives. As part of our commitment to your well-being we offer a comprehensive benefits package including but not limited to:

• 26 days holiday plus bank holidays
• Private medical insurance
• Statutory contributions which include; pension disability insurance sickness insurance and accident insurance
• Referral Scheme

You will also have the opportunity to work for a global employer who is dedicated to offering each and every employee an enjoyable challenging and rewarding career with future career development prospects!

Equality and Diversity

The Company values the differences that a diverse workforce brings to the organisation and will not discriminate because of age disability gender reassignment marriage and civil partnership pregnancy and maternity race (which includes colour nationality and ethnic or national origins) religion or belief sex or sexual orientation (each of these being a protected characteristic in discrimination law). It will not discriminate because of any other irrelevant factor and will build a culture that values openness fairness and transparency.

If you have a disability and would prefer to apply in a different format or would like to make a reasonable adjustment to enable you to make an interview please contact us at (we do not accept applications to this email address).

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