Senior Data Scientist

Описание

Description

PwC is a global network of more than370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

Why is it yours?

PwC SDC Lviv is not just a job. This is an opportunity:

To really feel what it is like to work in an international company.

Learn practical skills that will be relevant in a constantly changing world.

To be part of a team that values your ideas and supports your growth.

What do we guarantee?

Work format: Remote or in a comfortable office in Lviv - you choose.

Development: Personal development plan, mentoring, English and Polish language courses.

Stability: Official employment from day one, annual review of salary and career prospects.

Corporate culture: Events that unite the team and a space where everyone can be themselves.

What awaits you?

We create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development and cloud solutions. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America and Asia.

Your future role:

Developing innovative solutions for our clients by leveraging cutting-edge data science, machine learning, and AI technologies;

Developing intelligent assistants using the latest large language models (e.g., GPT-4, Falcon 2, LLAMA 3, Mixtral), employing Retrieval Augmented Generation techniques, and utilizing agent frameworks (e.g., Langraph, CrewAI);

Utilizing AI expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges;

Leading data science project teams of 1-5 members, managing small to medium projects and overseeing parts of larger engagements under senior supervision;

Working closely with PwC industry experts, clients, and higher management while actively participating in the proposal-making process within your area of expertise;

Communicating complex insights in a clear and actionable manner to non-technical colleagues and clients.

Apply if you have:

3+ years of relevant professional experience;

Solid knowledge of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures;

Knowledge and experience in production grade code development in Python;

Solid knowledge of SQL;

Experience with LLMs and related concepts (e.g. RAG, vector DBs, AI agents);

Understanding of cloud concepts and architectures, with hands-on experience in cloud services (GCP, AWS, Azure);

Knowledge of CI/CD and DevOps practices;

Strong interpersonal and communication skills — essential in day-to-day cooperation with clients and the team;

Outstanding supervision and mentorship abilities;

Graduate of Economics, Econometrics, Quantitative Methods, Computer Science, Math, Physics, Operational Research or related discipline;

Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions to business problems;

Proficiency in English, both written and spoken.

Nice to have:

Familiarity with MLOps tools (e.g., Azure AI Studio, AzureML, Vertex.AI, SageMaker, MLFlow);

Knowledge of an extra programming language (e.g. C#, Go, Java);

Knowledge of Natural Language Processing techniques;

Experience in banking, retail or consulting;

Experience in leading project teams.

Ready for the challenge? Send your resume and join the team that shapes the future!
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