PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.
PwC Poland’s Data Analytics is a team of creative people focused on development in the field of DATA in its broadest sense. Our area of interest includes machine learning, MLOps, Data Engineering and everything related to data. We carry out projects related to ML, forecasting and, last but not least, Explainable AI. We support clients in a number of industries: banking, insurance, retail, and location: Europe, the US, South America and Asia.
We are looking for:
Senior Data Science Business Consultant
Your future role:
- Employ advanced analytics methodologies to address business challenges, optimizing predictive and prescriptive analytics to drive strategic decisions,
- Gather and interpret business requirements to align data-driven solutions with strategic goals,
- Develop, train, and validate machine learning models to forecast trends and behaviors,
- Present analytical insights to stakeholders and clients using layman’s terms to facilitate informed decision-making,
- Develop comprehensive reports and visualizations that underscore critical data points, facilitating robust risk management and process optimization,
- Lead initiatives such as proposal drafting, proof-of-concept creation, and feasibility studies for new product development and market expansion.
Apply, if you have:
- Professional experience delivering and implementing data and AI solutions,
- Analytical skills with the ability to collect and analyze large datasets and draw appropriate conclusions (using e.g. Python, R, SQL),
- Experience with visualization technologies such as Power BI\Tableau and ETL, ELT and data querying (e.g. SQL),
- Strong interpersonal and communication skills and ability to solve complex problems,
- Fluent communication in Polish and English.
By joining us you gain:
- Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,
- Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker,
- Wide medical and wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling,
- Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase,
- 3 paid hours for volunteering per month ,
- Additional paid Birthday Day off ,
- And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.
Recruitment Process:
- Apply,
- Have a quick conversation with our Recruiter on a short HR screening call,
- Get to know each other better during an interview with the Recruiter and Hiring Manager.
With any queries please contact Wyświetl e-mail na karierawfinansach.pl with a job title in the subject.
PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - list of entities: , with its registered seat in Warsaw (00-633), Polna 11 Street, („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. A full information about processing your personal data is available in our Privacy Policy .
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