Financial Data Engineering / Business Data Analytics Trainee — Patent Portfolio Management

Nokia; Espoo; On-site; EUR 17,000 - 23,000; Full time

Benefits offered by this job

Flexible hybrid working arrangements

Maternity/Paternity leave 90+ days

Annual bonus based on performance

Health and well-being support

Job summary

Nokia’s Technology Standards group invites a paid, full-time trainee to Espoo for 6–12 months. You will split focus between building reliable data foundations and turning data into actionable insights for investment decisions.

Flexible start date between January and summer 2027, with a deadline of 30 November 2026. We welcome applicants from any academic field; strong curiosity, clear explanations, and ability to work with complex data are valued.

Qualifications

• Interest in data, business, and finance.
• Systematic, detail-oriented approach and curiosity to investigate.
• Ability to work independently with complex data and derive insights.
• Working English, written and spoken with good communication skills.

Responsibilities

• Turn complex patent portfolio and financial data into analysis to support decisions.
• Build reliable data foundations, data pipelines, and practical tools.
• Analyse portfolio and financial data to support investment modelling and scenario analysis.
• Present findings clearly with reliability and implications for decisions.

Skills

Data analysis

Business interest

Independent work

English communication

Education

Active EU student status

Tools

Programming familiarity

AI coding tools familiarity

Job description

Job Description

Nokia’s Technology Standards business group licenses Nokia intellectual property, including one of the industry’s leading patent portfolios. Within it, Investment & Patent Portfolio Management Team turns complex patent portfolio and financial data into analysis that supports long-term investment decisions.

The exact focus of the role depends on your strengths and interests. A more technical role centres on building reliable data foundations: bringing together data from different sources, resolving quality issues, inconsistencies, and missing values, and building and maintaining datasets, data pipelines, and practical tools that make patent cost and portfolio information easier to access and use. A more business-oriented role centres on turning that data into decisions: analysing patent portfolio and financial investment data, supporting investment modelling, cost-efficiency studies, scenario analysis, business cases, and demand and capacity planning, and presenting clear findings, their reliability, and the decisions they can support. Many tasks combine elements of both.

This is a paid, full-time traineeships of 6–12 months in Espoo, with a flexible start date between January and summer 2027.

Deadline: 30 November, 2026

How You Will Contribute And What You Will Learn

How you approach the work matters as much as what you already know. In either role, you might be someone who:

• Can turn a vague question into a structured analysis.
• Writes down assumptions and tests which ones actually move the answer.
• Gets curious when something looks strange and follows the trail until it makes sense.
• Builds work that others can rerun, understand, and improve.
• Knows that reliable data needs both technical care and clear explanations.
• Is comfortable with uncertainty and can explain a range with a probability curve.
• Makes numbers visible through clear charts, summaries, and presentations.
• Checks their own output before anyone else has to.

We do not prescribe a toolset. The right answer may be a spreadsheet, code, a model, a visual, or a carefully documented assumption. We can teach you our stack; what matters is choosing the right tool for the problem.

Key Skills And Experience

We welcome applicants from any academic field. Your approach to problems matters more than a specific degree. We are looking for:

• Interest in data, business, and finance.
• A systematic, detail-oriented approach and the curiosity to keep investigating.
• Ability to work independently with complex data and draw business-relevant insights.
• Working English, written and spoken with good communication skills.
• Active student status at an EU university throughout the traineeship is required.
• Familiarity with financial data, statistical methods, programming, software development, or AI coding tools can be useful, but we are more interested in how you think and work.

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia .

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .

About The Team

Some of our benefits in Finland :

• Flexible and hybrid working arrangements to support work–life balance
• A minimum of 90 days of Maternity and Paternity Leave based on eligibility
• Edenred benefit voucher - 400€ per year
• Annual bonus - based on individual and company performance
• Health and well-being support - occupational health services, well-being programs, employee resource groups, reimbursement for spectacle lenses, life insurance and gyms at every site
• Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
• Share in Success – voluntary employee share purchase plan
• Employee Referral program – reward yourself and support Nokia by referring a friend to apply to Nokia
• Career growth & learning - technical career path, job rotation, coaching and digital learning platforms
• Car benefit – the eligibility for a company car is based on employee’s job grade