Senior Data Scientist
Praha - Hvezdova 1734/2c
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Job Description & Summary
About Application Development team
We are a Team with 160+ professionals with different roles covering everything from Business to Technical solutions. We can build a team to meet the needs of any project or product you have. We strive for excellence. All our teams follow the same guidelines, which are being continuously evaluated and improved with the latest technology standards and up-to-date policies. Based on the project size, we can select specific specialists that can best contribute to a successful and effective solution. Server-Side Applications, High-Performance Frontends, Mobile Apps, User Experience, Quality Assurance, Cloud and DevOps, Business Analysis, Artificial Intelligence and Machine Learning.
About your manager
Marek Novotný is a Partner within the Advisory services of PwC. Working extensively in the US and European geographies, he is recognized as a strong executive within the technology areas. He is focused on quality while providing a reliable and trustworthy services in areas of custom software development covering digital products and services development, cloud transformations and data related services (analytics, engineering and science).
Job Description and Summary
We are looking for highly-motivated data analytics experts with focus on data science and machine learning to join our DATA team. You will have a unique opportunity to deliver big data solutions to a broad variety of our clients and participate in development of our products and services such as PwC Responsible AI Platform, AI Lab, ESG suite, Media Intelligence Platform or other products with global reach.
As an Data Scientist you will be:
Working as a part of the Prague Data Analytics team and our global network of experts, you will be responsible for building modern data solutions as well as designing, developing, deploying, and maintaining scalable production-grade data products.
Applying expertise in quantitative business analysis, data mining, and AI the presentation of data to see beyond the numbers
Deploying Machine Learning Models - Collaborate with data engineers to deploy ML models (incl. LLMs) into production environments. Leverage tools like Kubeflow, MLflow to streamline the end-to-end ML lifecycle. Ensure seamless integration of ML models with data pipelines.
Work closely with the product team to design solutions to data problems from data
Cooperate with our Applications and Products development teams to operationalize your machine learning models in the final products.
Requirements of the role
BSc or MSc University degree (preferably in Math, Computer Science, Physics, Operational Research or related)
Proven track record of success in executing, and leading resources to execute, data science solutions in commercial setting across the whole data science project lifecycle
Strong command of data analysis tools and technologies (SQL, Python, PySpark, R)
Knowledge of tools and programming languages used in large data sets analysis (Spark, Data Bricks, Pig)
Overview in area of genAI, LLMs (GPT, Mistral, LLama2, Phi, ….), orchestrators (LangChain LlamaIndex, …), Vector storages (Chroma, Milvus, Pinecone, …), inference platforms.
Good knowledge of SQL and NoSQL databases.
Willingness to learn new tools and software solutions.
Very good command of English
Strong interpersonal and communication skills - essential in day-to-day cooperation with clients and the team
Focus on teamwork and leadership skills
Willingness to travel
Nice to have
Experience working as part of a global/multinational team
Hands-on experience with one or more cloud services (Azure, AWS, GCP)
Being up to date with the current trends and advancements in the data science field
Any experience in deep learning, computer vision and/or geo analytics is a plus
Previous experience with development using agile methodologies like Scrum or Kanban
Interest in behavioral economics and/or data science
Github profile
Our benefits and fun
Stable, but challenging working environment providing plenty of opportunities for your continuous professional growth.
Fair salary plus annual bonus and flexible working hours.
Paid time off 30 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.
Support for your education and development: we offer business and digital training and many other training and workshops to further develop your personal and professional skills. We pay for technical certifications and the time you spend studying them.
Opportunity to work with foreign PwC offices, for example in the UK, DE, NL, USA, Canada and other countries
Extra-work activities and Away Days (team building, ski weekend, etc.).
You will develop your skills while having the support from the top notch professionals in the team (also career coaching etc).
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.
Are you interested in our offer? Let us know about yourself and we will discuss more details together!
Once you've applied for a position, Ornella Indrová, our recruiter for the Technology Consulting team will contact you. If you're successful and you also get along with the hiring manager, you're good to go and start your career!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Big Data Computer Science Computer Vision Consulting Data analysis Data Analytics Databricks Data Mining Data pipelines Deep Learning DevOps Economics Engineering GCP Generative AI GitHub GPT Kanban Kubeflow LangChain LLaMA2 LLMs Machine Learning Mathematics MLFlow ML models NoSQL Physics Pinecone Pipelines Privacy PySpark Python R Research Responsible AI Scrum Spark SQL
Perks/benefits: Career development Flex hours Flex vacation Health care Salary bonus Startup environment Team events Unlimited paid time off
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