At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.
As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.
Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

THE ROLE

Corsearch is expanding its AI team and is looking for a Principal Data Scientist to take the lead on R&D and customer innovation in our Trademark services.
This role will lead a team of three Data Scientists / Machine Learning engineers.
The Principal Data Scientist will be the accountable owner for AI and Data Science solutions for Trademark Solutions, working closely with the VP of Engineering and the VP of Innovation who are also based in the Helsinki office, and the VP of Product who is based remotely.
Learn more about our Data Science org, and wider business here

RESPONSIBILITIES AND DUTIES

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  Strategic Leadership
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• Define and drive the data science strategy for Trademark Solutions, aligned with business goals and objectives.

• Identify opportunities for leveraging data to drive business growth and innovation.
• Project Management
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• Lead data science projects from ideation through to implementation and evaluation.

• Collaborate with cross-functional teams to ensure successful project delivery.
• Advanced Analytics and Modelling
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• Develop and deploy sophisticated machine learning models and algorithms to solve business problems.

• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Work closely with subject matter experts to validate results and share knowledge about the used methodology
• Team Leadership and Mentorship
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• Lead a team of 3-4 data scientists and actively manage R&D projects on the roadmap

• Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
• Provide technical leadership and support to the data science team.
• Stakeholder Engagement
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• Communicate complex data findings to non-technical stakeholders through compelling visualisations and presentations.

• Collaborate with senior leadership to align data initiatives with business strategy.
• Proactively engage with stakeholders in Product and Operations teams to ensure successful project delivery.
• Research and Innovation
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• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

• Experiment with new tools, technologies, and methodologies to continually enhance data science capabilities.
• Try different approaches to achieve optimal performance and accuracy.
• Follow agile practices and facilitate team events, like knowledge sharing, code review and brainstorming sessions.
• Performance Monitoring, Continuous Improvement and Reporting
• Develop metrics and KPIs to measure the effectiveness of data science initiatives.
• Maintain training and testing data, monitor performance and consistency of models in production and ensure models are appropriately maintained.
• Regularly report on project progress, outcomes, and insights to stakeholders.