PwC

Data Scientist

4 November 2024
Full Time
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Deadline date:
£92000 - £172000 / year

Job Description

Job Description & Summary

We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will analyze complex datasets, build predictive models, and generate actionable insights to drive our business decisions. The understanding of ETL processes to prepare data for analysis is crucial for the work. Your ability to understand the business context, coupled with your technical expertise, will be essential in helping us to leverage the data for our strategic advantage. You will work closely with Data Engineers and other stakeholders to ensure that our data-driven initiatives are successful.

About the team

Our team has been the driving force for innovation in the area of document automation within the PwC Network. The team operates document automation platform that is being used in almost 50 countries, will soon provide the services to the whole PwC Network globally and expand to external markets. Our team provides broad range of services, such as solution design, software implementation, software development and integrations, application management and maintenance, robotic process automation or data analytics. A career in our team will provide you with a significant variability of activities, tasks and project and will enable you to participate on global projects.

About your manager

Radek works as a Tech-team leader in the Document Automation (DA) team, leading the IT division of the DA team. His team is responsible for taking care of all IT related aspects of the existing solutions as well as the new IT projects – spanning from ensuring smooth operation of the existing systems, infrastructure and services to creating new applications (for internal and external clients) using the top tier technology. In his free time, he enjoys spending time outdoor exploring new places, driving, playing speed-chess or just watching any good movies.

Job description & summary

Primary focus is analyzing and interpreting complex data to derive insights and drive decision-making and building analytical models and machine learning algorithms, working with underlying data.

Responsibilities:

  • Analyze large and complex datasets to identify patterns, trends, and insights.

  • Develop, validate, and deploy statistical models and machine learning algorithms.

  • Design and conduct experiments to test hypotheses and validate models.

  • Create visualizations and dashboards to effectively communicate findings to stakeholders.

  • Collaborate with Data Engineers to ensure data quality and accessibility.

  • Understand the ETL/ELT processes to prepare data for analysis.

  • Clean, transform, and integrate data from multiple sources.

  • Translate business questions into data-driven solutions and actionable insights.

  • Stay updated with the latest advancements in data science and machine learning.

Requirements of the role

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

  • Proficiency in Python and SQL.

  • Understanding of statistical methods and hypothesis testing.

  • Proficiency with data visualization tools is a must (e.g. Power BI, others).

  • Excellent analytical, problem-solving and strong communication and collaboration skills.

  • Experience with designing and implementing ETL/ELT processes is a plus.

  • Experience with big data libraries is a plus (e.g. Delta-lake, MLflow, PySpark)

  • Experience with machine learning libraries is a plus (e.g., scikit-learn, TensorFlow, PyTorch).

Preferred Qualifications:

  • Familiarity with big data technologies (preferably Data Bricks, Spark).

  • Experience with cloud platforms (preferably Azure).

  • Ability to manage multiple tasks and projects simultaneously.

Our Benefits and Fun

  • Opportunity to work on cutting-edge data-driven projects.

  • Collaborative and supportive team environment.

  • Concentrated experience and rapid career growth. It may sound like a platitude, but it really is.

  • Flexible working hours.

  • Paid time off 20 + 5 days, 3 wellbeing days and 2 extra days off from the company at the end of the year.

  • High-end Ultrabook and iPhone with unlimited data.

  • Benefit program with 45.000 points that you can use for holidays, education, food vouchers, sports (Multisport), health… Simply on what you enjoy. 

  • Exposure to a variety of project & technologies.

  • Support for your education and development, business and digital skills training, ongoing training and certification, for example in Microsoft (Azure, PowerApps), project management (Prince2, PMI), service management (ITIL), agile development (Scrum, SAFe), DAMA, Salesforce, coaching and presentation skills and more. We pay for technical certifications and the time you spend studying them.

  • Opportunity to work in the future at a foreign PwC office, for example in the USA, Canada and there are others in the selection. 

  • Extra-work activities and Away Days (team building, ski weekend, etc.).

  • Regular feedback on your work, also consultation with a coach with whom you can address your further development and career direction.

If you are passionate about data science and eager to make a significant impact with your skills, we encourage you to apply! 🙂

PwC is the largest audit team in the Czech Republic, law, tax, consulting and technology, data or forensic teams. Find out how easy it is to combine this knowledge when you’re in the right place. With us, you will get the opportunity to see how business is done in large companies. We are part of an international network of companies with more than 364,000 colleagues in 151 countries. At PwC, we create an inclusive work environment where everyone can be themselves and find their place and opportunity to develop.

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