Data Scientist | KYC @ING Hubs Romania

Description

The team is based in Bucharest, Romania, and is part of the company Analytics, the group that builds analytics products and services for the bank.

The company Analytics works on call and speech analytics, generative AI for risk summarization, portfolio performance insights, ESG data insights for commercial use, and cloud and on-premises data analytics platforms, among other things.

The company started in 2015 as a software development hub for the bank and has since added services and competencies. It now runs services in software development, data management, non-financial risk and compliance, audit, and retail operations for 24 the company units worldwide, using a team of more than 2000 engineers, risk specialists, and operations staff.

The role sits in the Bucharest office. The company describes its way of working as flexible and collaborative, with fair and constructive feedback encouraged.

You will build machine learning products that form the core of what the analytics group delivers. Scoping, development, validation, and documentation are all part of the job, and you will work with other scientists and analysts to check and improve model performance.

The company is looking for curious, empathetic people who want to grow and learn new skills. Hiring is based on potential, and the company supports new hires throughout their time in Bucharest.

Responsibilities

• Scope, build, validate, and document machine learning solutions that become part of the analytics products.
• Work with other data scientists and analysts to evaluate model performance and push it as high as possible.
• Develop machine learning solutions each day, following best practices and quality standards for model pipelines suited to their purpose.
• Contribute to the model development and implementation team, questioning existing approaches while meeting the requirements of the company model governance.
• Prepare fraud models for production deployment.
• Learn the domain of the analytics group so you can help build tools that make the bank and society safer.

Requirements

• A bachelor's degree in computer science, mathematics, engineering, or econometrics.
• 3-5 years of experience in data science.
• A good grasp of supervised and unsupervised machine learning methods.
• Strong Python, Apache Spark, SQL, and Git skills.
• Strong communication skills and the ability to work with a team spread across locations in a semi-remote setup.
• Broad experience across end-to-end machine learning projects, including every modelling step from data extraction to production.
• Experience writing production-ready code. A solid understanding of object-oriented programming is a strong plus.
• A proactive, can-do attitude and the ability to work on your own initiative.
• A curious mindset, with a collaborative approach and a willingness to help others grow and improve.
• Comfort with challenges in a fast-changing, complex environment.
• Privacy notices on the company website explain how personal data is handled during recruitment and what your rights are. Find them under the Data Protection section in the Candidates tab.

Conditions

Based in Bucharest, Romania, with a semi-remote working arrangement.

The company is an equal opportunity employer.