AI Data Scientist

Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.

We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.

As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.

• Apply machine learning, deep learning, natural language processing, computer vision, and other AI techniques to various domains and use cases.
• Evaluate and optimize the performance, accuracy, and scalability of AI models and systems.
• Research and implement state-of-the-art AI methods and best practices.
• Collaborate with cross-functional teams of engineers, product managers, designers, and stakeholders.
• Design and execute data science workflows, from concept to execution, to deliver novel insights to clients in response to their requirements.
• Prototype, test, and productionise machine learning models.
• Model data for storage and querying in database and large-scale analytics platforms.
• Work with a wide variety of data types, from structured to unstructured, multimedia (video and still images), time-series and IoT data.
• Clearly visualise and communicate processes and results to clients, colleagues and other stakeholders.

• A passion for developing and communicating deep and valuable insights.
• In-depth knowledge of statistics and research methodology/experimental design.
• Extensive, demonstrable experience building and testing/validating machine learning models and using data mining techniques.
• Extensive experience of data modelling and database design.
• Demonstrable programming experience in Python and associated data science/ML libraries in AWS/Databricks Tech Stack.
• The ability to form clear narratives that communicate complex ideas to diverse audiences.
• Experience of team leadership / supervising others.
• Experience of proposal writing, project costing, project management, etc.
• Ability to quickly make sense of new topics in unfamiliar fields.
• Specialist experience in a particular domain/application of data science, e.g. natural language processing, remote sensing, IoT.

Hybrid: This role requires 2 days per week onsite at client's Dublin office.

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.

One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.

We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.

Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.