Data Scientist

Poland

Capco

Capco is a global management and technology consultancy dedicated to the financial services and energy industries.

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CAPCO POLAND

*We are looking for Poland based candidates*

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

Capco Poland is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent.

We also are:

  • Experts in banking and payments, capital markets, wealth and asset management
  • Focused on maintaining our nimble, agile, and entrepreneurial culture
  • Committed to growing our business and hiring the best talent to help us get there

ROLE OVERVIEW: 

We are seeking a skilled and driven Data Scientist to join our data science team. The ideal candidate will have a strong foundation in Python programming, experience with supervised machine learning techniques, and exposure to large language models (LLMs) and Generative AI (GenAI). Experience with Databricks is a plus. In this role, you will be working on cutting-edge projects that leverage advanced machine learning to solve business challenges and drive innovation.

KEY RESPONSIBILITIES:

  • Design, develop, and deploy machine learning models, with a focus on supervised learning techniques, to address business needs.
  • Research and experiment with large language models (LLMs) and Generative AI (GenAI) to explore innovative solutions.
  • Clean, preprocess, and analyze large datasets to prepare them for modeling.
  • Collaborate with cross-functional teams to understand requirements and provide actionable insights from data.
  • Build and optimize data pipelines and workflows using tools like Databricks (preferable).
  • Validate and evaluate models to ensure accuracy, performance, and reliability.
  • Monitor and maintain production models to ensure their performance over time.
  • Document methodologies, findings, and processes to ensure transparency and reproducibility.
  • Stay updated with the latest trends and advancements in machine learning, deep learning, and Generative AI to continuously improve solutions.

KEY SKILLS & QUALIFICATIONS:

  • Proficiency in Python and its libraries for data science (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of supervised machine learning techniques and their applications.
  • Hands-on experience with large language models (LLMs) and Generative AI (GenAI) frameworks/tools.
  • Strong problem-solving skills and the ability to work with complex, unstructured data.
  • Experience with Databricks or similar cloud-based data platforms (preferable).
  • Familiarity with data visualization tools and techniques (e.g., Matplotlib, Seaborn, or similar).
  • Experience with version control systems like Git.
  • Strong communication skills to explain technical findings to non-technical stakeholders.

Nice-to-Have:

  • Knowledge of natural language processing (NLP) and text analytics.
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
  • Familiarity with MLOps practices and tools for model deployment and monitoring.
  • Experience with unsupervised learning techniques or other advanced ML algorithms.

WHY WORTH JOINING US:

  • Employment contract and/or Business to Business as you prefer
  • Hybrid work
  • Speaking English on a daily basis, mainly in contact with foreign stakeholders and peers
  • Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, insurance)
  • Access to 3,000+ Business Courses Platform (Udemy)
  • Access to required IT equipment
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • Being part of the core squad focused on the growth of the Polish business unit
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A work culture focused on innovation and creating lasting value for our clients and employees

ONLINE RECRUITMENT PROCESS STEPS:

  • Screening call with the Recruiter
  • Competencies interview with Capco Hiring Manager
  • Client’s interview
  • Feedback/Offer

Join Us:
If you are passionate about leveraging machine learning and Generative AI to solve real-world problems, we’d love to hear from you. Apply now to be part of a forward-thinking team driving innovation through data science!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  1  0
Category: Data Science Jobs

Tags: Agile AWS Azure Banking Databricks Data pipelines Data visualization Deep Learning GCP Generative AI Git Google Cloud LLMs Machine Learning Matplotlib ML models MLOps Model deployment NLP NumPy Pandas Pipelines Python PyTorch Research Scikit-learn Seaborn TensorFlow Unstructured data Unsupervised Learning

Perks/benefits: Career development Flat hierarchy Health care

Region: Europe
Country: Poland

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