Junior Data & Software Specialist, Espoo

• The role is a 6-month consultancy Junior Data & Software Specialist position with Academic Work at a global industrial technology company's innovation unit, with a strong possibility of long-term progression.
• You will support R&D projects through data analysis, AI-assisted Python software development, AWS Lambda functions, prototyping, and work with LLMs and sensor/pilot data.
• Required qualifications include a relevant academic background, solid Python skills, exposure to traditional ML or LLMs, cloud experience (preferably AWS), and fluency in English.
• The position offers hybrid work (three office days per week), an international expert team, varied challenging tasks, and opportunities to grow professionally through Academic Work.

Are you a tech-savvy problem solver looking to kickstart your career in the heart of digital innovation? We are looking for a Junior Data & Software Specialist for our client, a world-leading industrial technology pioneer. If you have a passion for Python, data science, and cloud technologies, this is your chance to grow into a future expert in a dynamic environment!

About the role

In this role, you will join our client's innovation unit focusing on digital innovation and sustainability. You will work within a small, agile team, where your mission is to support various R&D projects through data analysis, software development, and prototyping.

The team has high standards, but they are now looking for a new talent who is eager to learn and take on diverse tasks. This is a 6-month consultancy assignment through Academic Work, with a strong possibility of long-term career progression within the company.

You are offered

• An opportunity to gain valuable work experience in a global company
• International team full of experts of this field
• Interesting and challenging tasks that grow with you
• Hybrid work, 3 office days per/week
• As consultant at Academic Work you are offered a great opportunity to grow as a professional, extend your network and establish valuable contacts for the future.

Work tasks

Your work will be highly varied, moving between data processing, AI assisted software developing, and stakeholder collaboration.

• Data Science & AI: Manual and automated data labeling, working with Large Language Models (LLMs) to extract information from images, and gathering data from public/commercial APIs.
• Software Development: AI assisted software development, writing Python scripts, developing AWS Lambda functions, and building features for cloud-based services.
• Pilot Projects: Analyzing sensor data from the field, investigating device installations, and running analysis on historical data from pilot sites.
• DevOps & Automation: Utilizing AI tools to automatize monitoring of AWS accounts for anomalies (e.g., cost spikes or errors) and to streamline development
• Collaboration: Participating in workshops and meetings with stakeholders and customers. You won't just be coding; you’ll be part of the solution design.

We are looking for

• A relevant academic background (e.g., Computer Science, Data Science, or Information Technology).
• Solid foundational skills in Python.
• Previous exposure to traditional Machine Learning and/or Large Language Models.
• Experience or understanding of cloud platforms (preferably AWS, but Azure or Google Cloud experience is a great head start).
• Personality: Proactive, independent, and communicative. You are not afraid to ask "why" and you enjoy working in a team where ideas are shared openly.
• Language: Fluency in English

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.