Mission

At ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Analytics plays a key role in making that possible - by turning data into insights that help our customers, our colleagues, and our business make better decisions every day.

As part of ING’s Analytics community, you will work in an open, supportive environment that values curiosity, ownership, and autonomy. You will contribute by building advanced analytics solutions that transform complex data into meaningful insights and actions, helping ING become a truly data-driven organization.

As a Data Scientist, your mission is to analyze complex datasets, uncover patterns, and develop advanced analytical solutions that improve products, services, and decision-making across Retail Banking.

About the team

You’ll join a highly analytical team within Retail Banking, focused on turning complex data into clear, actionable insights.

The team works in a collaborative, data-driven environment, partnering closely with Product, Marketing, Operations, and other stakeholders to deliver scalable, production-ready analytics solutions.

Your day‑to‑day

As a Data Scientist working in an Agile environment, you will contribute to the squad’s purpose by owning data science problems end-to-end, from business understanding to deployment and governance.

In this role, you will:

• Analyse large, complex datasets to identify patterns, trends, and insights that support business strategy and decision-making.
• Translate business questions into data science problems, defining data requirements, analytical approaches, and implementation plans.
• Develop and apply advanced analytics, including statistical analysis, machine learning models, and predictive techniques.
• Build, test, and deploy data products and machine learning models at scale on data platforms.
• Perform data exploration, cleaning, transformation, and feature engineering to ensure high-quality analytical outputs.
• Deliver clear insights, visualisations, and storytelling to technical and non-technical stakeholders, enabling a data-driven culture.
• Collaborate with cross-functional teams (Product, Marketing, Operations) to align analytics solutions with business goals.
• Ensure proper model governance, including documentation, validation, monitoring, and compliance with internal standards.
• Contribute to building reusable datasets, pipelines, and scalable analytical components.
• Apply best practices in data privacy, security, and ethical use of data and AI models.
• Identify opportunities for automation and optimization of analytical processes.
• Provide guidance and share knowledge within the team to support capability building and continuous improvement.

What you bring to the team

• Education & Experience: Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, Computer Science) and 3–6+ years of experience in data science, analytics with ability to work independently on complex topics.
• Advanced Analytics & Technical Skills:
  • Strong knowledge of statistical analysis, data exploration, and machine learning techniques.
  • Strong experience with programming languages such as Python (and PySpark).
  • Ability to work with large datasets and apply robust analytical processes (data cleaning, modelling, forecasting, pattern recognition).
  • Familiarity with data visualization tools to communicate insights effectively.
• Ownership & Collaboration: Ability to independently frame complex business problems, work in cross‑functional Agile squads, and take ownership from problem definition to production and governance.
• Communication & Storytelling: Strong communication skills, capable of explaining complex analytical trade‑offs to both technical and non‑technical audiences.

What we offer

• Impactful work in a fun, inclusive and highly collaborative environment.
• Modern, open office spaces built for teamwork and creative work.
• A collaborative, inclusive, and high‑performing analytics community.
• Hybrid working model with flexibility baked in.
• Monthly benefit budget and extra vacation days based on experience.
• Continuous learning through ING Learning Centre, Udemy, Bookster, trainings, and certifications
• Internal mobility opportunities across ING worldwide, including short- and long-term international assignments.
• Opportunities to contribute to sustainability and CSR initiatives.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please:

• Apply only via official ING platforms. ING uses Workday as its recruitment system.
• Verify the sender’s email - it should only come from @ing.com or @myworkday.com.
• Know that ING will never request payments or banking details during the recruitment process. 

How to apply

Click “Apply” on our careers site and submit your application through Workday. We’re excited to meet you!

Discover ING Bank Romania

ING believes in a world where everyone should have the freedom to grow in their own way — our global tagline, “do your thing”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues and the organization.

Working here means being surrounded by energetic, ambitious and supportive colleagues. We embrace curiosity, thrive on change and continuously explore better ways of doing things.

With more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.

ING Bank Romania is the only bank in the local top 10 that has achieved its position through organic growth, without acquiring portfolios or other banks. We serve over 2.0 million clients across Retail, SME & Mid‑Corporate and Wholesale Banking.

Join us!

Ich möchte mich bewerben Für einen späteren Zeitpunkt speichern

Mission

At ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Analytics plays a key role in making that possible - by turning data into insights that help our customers, our colleagues, and our business make better decisions every day.

As part of ING’s Analytics community, you will work in an open, supportive environment that values curiosity, ownership, and autonomy. You will contribute by building advanced analytics solutions that transform complex data into meaningful insights and actions, helping ING become a truly data-driven organization.

As a Data Scientist, your mission is to analyze complex datasets, uncover patterns, and develop advanced analytical solutions that improve products, services, and decision-making across Retail Banking.

About the team

You’ll join a highly analytical team within Retail Banking, focused on turning complex data into clear, actionable insights.

The team works in a collaborative, data-driven environment, partnering closely with Product, Marketing, Operations, and other stakeholders to deliver scalable, production-ready analytics solutions.

Your day‑to‑day

As a Data Scientist working in an Agile environment, you will contribute to the squad’s purpose by owning data science problems end-to-end, from business understanding to deployment and governance.

In this role, you will:

• Analyse large, complex datasets to identify patterns, trends, and insights that support business strategy and decision-making.
• Translate business questions into data science problems, defining data requirements, analytical approaches, and implementation plans.
• Develop and apply advanced analytics, including statistical analysis, machine learning models, and predictive techniques.
• Build, test, and deploy data products and machine learning models at scale on data platforms.
• Perform data exploration, cleaning, transformation, and feature engineering to ensure high-quality analytical outputs.
• Deliver clear insights, visualisations, and storytelling to technical and non-technical stakeholders, enabling a data-driven culture.
• Collaborate with cross-functional teams (Product, Marketing, Operations) to align analytics solutions with business goals.
• Ensure proper model governance, including documentation, validation, monitoring, and compliance with internal standards.
• Contribute to building reusable datasets, pipelines, and scalable analytical components.
• Apply best practices in data privacy, security, and ethical use of data and AI models.
• Identify opportunities for automation and optimization of analytical processes.
• Provide guidance and share knowledge within the team to support capability building and continuous improvement.

What you bring to the team

• Education & Experience: Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, Computer Science) and 3–6+ years of experience in data science, analytics with ability to work independently on complex topics.
• Advanced Analytics & Technical Skills:
  • Strong knowledge of statistical analysis, data exploration, and machine learning techniques.
  • Strong experience with programming languages such as Python (and PySpark).
  • Ability to work with large datasets and apply robust analytical processes (data cleaning, modelling, forecasting, pattern recognition).
  • Familiarity with data visualization tools to communicate insights effectively.
• Ownership & Collaboration: Ability to independently frame complex business problems, work in cross‑functional Agile squads, and take ownership from problem definition to production and governance.
• Communication & Storytelling: Strong communication skills, capable of explaining complex analytical trade‑offs to both technical and non‑technical audiences.

What we offer

• Impactful work in a fun, inclusive and highly collaborative environment.
• Modern, open office spaces built for teamwork and creative work.
• A collaborative, inclusive, and high‑performing analytics community.
• Hybrid working model with flexibility baked in.
• Monthly benefit budget and extra vacation days based on experience.
• Continuous learning through ING Learning Centre, Udemy, Bookster, trainings, and certifications
• Internal mobility opportunities across ING worldwide, including short- and long-term international assignments.
• Opportunities to contribute to sustainability and CSR initiatives.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please:

• Apply only via official ING platforms. ING uses Workday as its recruitment system.
• Verify the sender’s email - it should only come from @ing.com or @myworkday.com.
• Know that ING will never request payments or banking details during the recruitment process. 

How to apply

Click “Apply” on our careers site and submit your application through Workday. We’re excited to meet you!

Discover ING Bank Romania

ING believes in a world where everyone should have the freedom to grow in their own way — our global tagline, “do your thing”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues and the organization.

Working here means being surrounded by energetic, ambitious and supportive colleagues. We embrace curiosity, thrive on change and continuously explore better ways of doing things.

With more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.

ING Bank Romania is the only bank in the local top 10 that has achieved its position through organic growth, without acquiring portfolios or other banks. We serve over 2.0 million clients across Retail, SME & Mid‑Corporate and Wholesale Banking.

Join us!

Ich möchte mich bewerben Für einen späteren Zeitpunkt speichern

Mission

At ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Analytics plays a key role in making that possible - by turning data into insights that help our customers, our colleagues, and our business make better decisions every day.

As part of ING’s Analytics community, you will work in an open, supportive environment that values curiosity, ownership, and autonomy. You will contribute by building advanced analytics solutions that transform complex data into meaningful insights and actions, helping ING become a truly data-driven organization.

As a Data Scientist, your mission is to analyze complex datasets, uncover patterns, and develop advanced analytical solutions that improve products, services, and decision-making across Retail Banking.

About the team

You’ll join a highly analytical team within Retail Banking, focused on turning complex data into clear, actionable insights.

The team works in a collaborative, data-driven environment, partnering closely with Product, Marketing, Operations, and other stakeholders to deliver scalable, production-ready analytics solutions.

Your day‑to‑day

As a Data Scientist working in an Agile environment, you will contribute to the squad’s purpose by owning data science problems end-to-end, from business understanding to deployment and governance.

In this role, you will:

• Analyse large, complex datasets to identify patterns, trends, and insights that support business strategy and decision-making.
• Translate business questions into data science problems, defining data requirements, analytical approaches, and implementation plans.
• Develop and apply advanced analytics, including statistical analysis, machine learning models, and predictive techniques.
• Build, test, and deploy data products and machine learning models at scale on data platforms.
• Perform data exploration, cleaning, transformation, and feature engineering to ensure high-quality analytical outputs.
• Deliver clear insights, visualisations, and storytelling to technical and non-technical stakeholders, enabling a data-driven culture.
• Collaborate with cross-functional teams (Product, Marketing, Operations) to align analytics solutions with business goals.
• Ensure proper model governance, including documentation, validation, monitoring, and compliance with internal standards.
• Contribute to building reusable datasets, pipelines, and scalable analytical components.
• Apply best practices in data privacy, security, and ethical use of data and AI models.
• Identify opportunities for automation and optimization of analytical processes.
• Provide guidance and share knowledge within the team to support capability building and continuous improvement.

What you bring to the team

• Education & Experience: Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, Computer Science) and 3–6+ years of experience in data science, analytics with ability to work independently on complex topics.
• Advanced Analytics & Technical Skills:
  • Strong knowledge of statistical analysis, data exploration, and machine learning techniques.
  • Strong experience with programming languages such as Python (and PySpark).
  • Ability to work with large datasets and apply robust analytical processes (data cleaning, modelling, forecasting, pattern recognition).
  • Familiarity with data visualization tools to communicate insights effectively.
• Ownership & Collaboration: Ability to independently frame complex business problems, work in cross‑functional Agile squads, and take ownership from problem definition to production and governance.
• Communication & Storytelling: Strong communication skills, capable of explaining complex analytical trade‑offs to both technical and non‑technical audiences.

What we offer

• Impactful work in a fun, inclusive and highly collaborative environment.
• Modern, open office spaces built for teamwork and creative work.
• A collaborative, inclusive, and high‑performing analytics community.
• Hybrid working model with flexibility baked in.
• Monthly benefit budget and extra vacation days based on experience.
• Continuous learning through ING Learning Centre, Udemy, Bookster, trainings, and certifications
• Internal mobility opportunities across ING worldwide, including short- and long-term international assignments.
• Opportunities to contribute to sustainability and CSR initiatives.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please:

• Apply only via official ING platforms. ING uses Workday as its recruitment system.
• Verify the sender’s email - it should only come from @ing.com or @myworkday.com.
• Know that ING will never request payments or banking details during the recruitment process. 

How to apply

Click “Apply” on our careers site and submit your application through Workday. We’re excited to meet you!

Discover ING Bank Romania

ING believes in a world where everyone should have the freedom to grow in their own way — our global tagline, “do your thing”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues and the organization.

Working here means being surrounded by energetic, ambitious and supportive colleagues. We embrace curiosity, thrive on change and continuously explore better ways of doing things.

With more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.

ING Bank Romania is the only bank in the local top 10 that has achieved its position through organic growth, without acquiring portfolios or other banks. We serve over 2.0 million clients across Retail, SME & Mid‑Corporate and Wholesale Banking.

Join us!

Ich möchte mich bewerben Für einen späteren Zeitpunkt speichern

Mission

At ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Analytics plays a key role in making that possible - by turning data into insights that help our customers, our colleagues, and our business make better decisions every day.

As part of ING’s Analytics community, you will work in an open, supportive environment that values curiosity, ownership, and autonomy. You will contribute by building advanced analytics solutions that transform complex data into meaningful insights and actions, helping ING become a truly data-driven organization.

As a Data Scientist, your mission is to analyze complex datasets, uncover patterns, and develop advanced analytical solutions that improve products, services, and decision-making across Retail Banking.

About the team

You’ll join a highly analytical team within Retail Banking, focused on turning complex data into clear, actionable insights.

The team works in a collaborative, data-driven environment, partnering closely with Product, Marketing, Operations, and other stakeholders to deliver scalable, production-ready analytics solutions.

Your day‑to‑day

As a Data Scientist working in an Agile environment, you will contribute to the squad’s purpose by owning data science problems end-to-end, from business understanding to deployment and governance.

In this role, you will:

• Analyse large, complex datasets to identify patterns, trends, and insights that support business strategy and decision-making.
• Translate business questions into data science problems, defining data requirements, analytical approaches, and implementation plans.
• Develop and apply advanced analytics, including statistical analysis, machine learning models, and predictive techniques.
• Build, test, and deploy data products and machine learning models at scale on data platforms.
• Perform data exploration, cleaning, transformation, and feature engineering to ensure high-quality analytical outputs.
• Deliver clear insights, visualisations, and storytelling to technical and non-technical stakeholders, enabling a data-driven culture.
• Collaborate with cross-functional teams (Product, Marketing, Operations) to align analytics solutions with business goals.
• Ensure proper model governance, including documentation, validation, monitoring, and compliance with internal standards.
• Contribute to building reusable datasets, pipelines, and scalable analytical components.
• Apply best practices in data privacy, security, and ethical use of data and AI models.
• Identify opportunities for automation and optimization of analytical processes.
• Provide guidance and share knowledge within the team to support capability building and continuous improvement.

What you bring to the team

• Education & Experience: Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, Computer Science) and 3–6+ years of experience in data science, analytics with ability to work independently on complex topics.
• Advanced Analytics & Technical Skills:
  • Strong knowledge of statistical analysis, data exploration, and machine learning techniques.
  • Strong experience with programming languages such as Python (and PySpark).
  • Ability to work with large datasets and apply robust analytical processes (data cleaning, modelling, forecasting, pattern recognition).
  • Familiarity with data visualization tools to communicate insights effectively.
• Ownership & Collaboration: Ability to independently frame complex business problems, work in cross‑functional Agile squads, and take ownership from problem definition to production and governance.
• Communication & Storytelling: Strong communication skills, capable of explaining complex analytical trade‑offs to both technical and non‑technical audiences.

What we offer

• Impactful work in a fun, inclusive and highly collaborative environment.
• Modern, open office spaces built for teamwork and creative work.
• A collaborative, inclusive, and high‑performing analytics community.
• Hybrid working model with flexibility baked in.
• Monthly benefit budget and extra vacation days based on experience.
• Continuous learning through ING Learning Centre, Udemy, Bookster, trainings, and certifications
• Internal mobility opportunities across ING worldwide, including short- and long-term international assignments.
• Opportunities to contribute to sustainability and CSR initiatives.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please:

• Apply only via official ING platforms. ING uses Workday as its recruitment system.
• Verify the sender’s email - it should only come from @ing.com or @myworkday.com.
• Know that ING will never request payments or banking details during the recruitment process. 

How to apply

Click “Apply” on our careers site and submit your application through Workday. We’re excited to meet you!

Discover ING Bank Romania

ING believes in a world where everyone should have the freedom to grow in their own way — our global tagline, “do your thing”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues and the organization.

Working here means being surrounded by energetic, ambitious and supportive colleagues. We embrace curiosity, thrive on change and continuously explore better ways of doing things.

With more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.

ING Bank Romania is the only bank in the local top 10 that has achieved its position through organic growth, without acquiring portfolios or other banks. We serve over 2.0 million clients across Retail, SME & Mid‑Corporate and Wholesale Banking.

Join us!

Ich möchte mich bewerben Für einen späteren Zeitpunkt speichern