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Data Scientist (Prague)

Prague Job No. r00219240 Full-time - Hybrid
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Job Description

As a Junior Data Scientist will play a key role in leveraging domain-specific decision science to aid in the development of data models, AI use cases, and visualizations that address critical industry challenges and executive-level priorities. You will be involved in a variety of projects aimed at supporting personalization of products and services based on data from multiple touchpoints. Your contributions will support the development and deployment of prototypes on advanced AI/ML platforms to empower optimal decision-making and facilitate a culture of rapid experimentation. 

Qualifications

Key Responsibilities: 

  • Collaborate with cross-functional teams to design and develop relevant data models, AI/ML algorithms, and visualizations for various industry verticals and functional areas. 

  • Assist in the development, integration, and operational management of AI-driven solutions across the enterprise. 

  • Contribute to the implementation and ongoing testing of AI applications, ensuring they meet business needs and performance standards. 

  • Help translate complex analytical insights into clear, actionable recommendations for business stakeholders. 

  • Contribute to the development of a value-led roadmap, clearly defining and prioritizing capabilities that align with business objectives. 

Qualifications: 

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. A Master’s degree is a plus. 

  • Czech language (at least C1), English language (at least B2/C1)

  • Excellent communication skills with the ability to present findings to a non-technical audience. 

  • Experience with programming languages such as Python. Knowledge of Python, SQL, GIT. The following python libraries are a must - pandas, scikit-learn, numpy, and at least a basic understanding of Keras. 

  • Sound understanding of Feed Forward Deep Neural Networks, supervised learning, classification tasks and evaluation techniques.   

  • Basic understanding of data visualization tools such as Tableau, Power BI, Amazon Quicksight or similar. 

  • Familiarity with some of the tools like AWS Cloud, Google Analytics, BigQuery, Azure Cloud, Apache Spark, ML Flow and Databricks is a plus. 

  • Strong analytical and problem-solving skills. 

  • Ability to work effectively in a collaborative team environment. 

  • A growth mindset with a passion for learning and continuous improvement. 

Work Environment:

  • Collaborative culture that values diversity of thought and creative solutions. 

  • Opportunity for professional growth and development in the field of AI and decision science 

  • Being part of a credible corporate workforce and one of the major delivery partners in Central Europe 

What we are offering 

  • Opportunity to boost your functional skills and expertise in an area of specialization 

  • Complex self-assessment of data science and AI knowledge in multiple areas of expertise with the possibility of certification with global recognition (Workera) 

  • Extensive and personalized training programs based on unlimited access to Coursera training platform 

  • Variety of interesting projects delivered locally or abroad 

  • Remote work option (home office) 

  • Attractive package of employee benefits 

#LI-EU

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

 

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

 

Accenture is committed to providing veteran employment opportunities to our service men and women.

 

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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