AML​/Sanctions- Data Scientist- Associate

AML/Sanctions
- Data Scientist
- Associate

Join to apply for the AML/Sanctions
- Data Scientist
- Associate role at PwC Experience Center Stockholm

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast‑paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team.

As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python to tackle financial crime challenges. As an Associate you will focus on learning and contributing to client engagement, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.

• Utilize analytical techniques to address financial crime issues
• Engage with clients to foster meaningful professional relationships
• Apply SQL and Python for data analysis and problem‑solving
• Explore machine learning, NLP, and LLMs in relevant projects
• Contribute to team efforts while enhancing personal technical skills
• Adapt to complex situations and develop strategic insights
• Participate in research to support project objectives
• Uphold professional standards and ethical guidelines

• Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
• 1 year of experience in data science/machine learning

• Interest in financial crime, AML, and fraud analytics
• Skilled in SQL for complex data queries
• Advanced Python skills for data manipulation
• Experience building and deploying machine learning models
• Understanding of machine learning concepts and algorithms
• Comfort working with structured and unstructured data
• Familiarity with agentic AI frameworks
• Hands‑on experience with CI/CD pipelines for data science
• Proficiency in SQL and Python
• Basic understanding of machine learning algorithms and evaluation metrics
• Exposure to frameworks such as scikit‑learn, XGBoost, Hugging Face Transformers
• Other quantitative fields of study may be considered

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more.

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