Data Scientist

Our client based in Poland, is looking for aData Scientist, please see the details below:

Role:Data Scientist

Location:Krakow, Poland (onsite)

Duration:6 Months initially

Rate:440 Euros/day

Data Scientist- for analyzing, modeling and interpreting data by performing various experiments using appropriate metrics to provide actionable insights. Proficiency in developing & deploying machine learning and AI algorithms on AWS cloud is required. Prior experience with timeseries and unstructured (e.g., image) data is essential.

Key Responsibilities

• Analyze structured and unstructured datasets to extract meaningful insights and patterns.
• Build and deploy end-to-end machine learning (ML) and AI solutions in production environments on AWS Cloud.
• Design and execute experiments with appropriate statistical methods and performance metrics.
• Work on forecasting, anomaly detection, and predictive modeling for time series data.
• Apply computer vision and deep learning techniques on image data for classification, detection, or segmentation tasks.
• Collaborate with cross-functional teams including Data Engineering, DevOps, and Business to translate business problems into analytical solutions.
• Document methodologies and present findings to stakeholders in a clear and actionable manner.
• Continuously explore new tools, frameworks, and best practices to improve model accuracy and deployment efficiency.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• 5-8 years of experience in data science, machine learning, or applied AI roles.
• Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch, etc.).
• Solid understanding of AWS services related to AI/ML (SageMaker, Lambda, S3, EC2, etc.).
• Hands-on experience with time series modeling, including ARIMA, Prophet, LSTM, or other forecasting techniques.
• Experience working with unstructured data such as images using deep learning models.
• Proficiency in data preprocessing, feature engineering, and model evaluation.
• Familiarity with MLOps principles and CI/CD for ML deployment is a plus.

Preferred Qualifications

• Experience with real-time data processing and model inference pipelines.
• Knowledge of containerization tools such as Docker and orchestration tools like Kubernetes.
• Exposure to tools like Airflow, MLflow, or Kubeflow.
• Strong communication and storytelling skills using data visualization tools (e.g., Plotly, Dash, Tableau).

If this sounds like something you'd be interested in, please apply with yourlatest CV, rate and availability,for immediate consideration.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.#J-18808-Ljbffr