Overview
Join our AI Innovation Lab in Wexford, Ireland, as a Senior AI Data Scientist, and drive the development of cutting-edge AI solutions for Equifax UK&I.
You will be instrumental in shaping our data and insights strategy, leading key projects, and providing technical and strategic expertise.
Play a key role in the AI Innovation Lab.
Responsibilities include the design, management and delivery of analytical insights and solutions through data analysis, data management and data science.
Primary activities include delivering technical, business strategic expertise and ensuring proper governance of data sources, models, attributes and analytic platforms.
Accountable for the data and insight strategy and its execution for the company.
Providing thought leadership both internally and externally regarding the use and application of data and analytics for competitive advantage.
Able to communicate analytical results to generate improved business decisions and profitability.
Combines business requirements and existing processes and data knowledge to create analytical solutions.
This role demands strong AI and machine learning skills, a passion for innovation, and the ability to mentor and lead within a collaborative team.
Proven ability to collaborate effectively.
Passion for pushing the boundaries of AI.
Lead from the data engineering perspective and contribute to AI projects.
Team to develop and implement AI models.
Mentor junior analysts.
Conduct data science analysis and interpretation.
Stay up-to-date with the latest AI trends and technologies.
What You'll Do
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
Collect, analyse and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.
Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
Lead the development of projects with multiple deliverables, leveraging business and technical expertise.
Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
Consistently deliver moderately complex to complex projects on time and against key metrics, with quality and speed, understanding how to navigate or escalate obstacles or uncertainty that may arise
Drive excellent execution using experience and knowledge to find ways to complete work efficiently, with discretion to suggest improvements
Have a sense of urgency, agility and grit
Organizes own work independently, ensuring continuous alignment with leadership expectations and aims to deliver winning results
What experience you need
BS degree in a STEM major or equivalent discipline
5-7 years of experience in a related analytical role
Proven track record of designing and developing predictive models in real-world applications
Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Cloud certification strongly preferred
Additional role-based certifications may be required depending upon region/BU requirements
Applies a new perspective on existing solutions to solve complex problems
Makes decisions within guidelines and policies that impact a range of customer, operational, process, or project activities
Develops work plans for short-term assignments of moderate or high complexity
Solid experience in data analysis, machine learning, and AI development
Hands-on experience with cloud-based AI platforms and tools
Requires in-depth knowledge and experience needed to operate independently with limited guidance and oversight
What could set you apart
Passion for data science, data mining, machine learning and experience with big data architectures and methods
A Master's degree in a quantitative field (Statistics, Mathematics, Economics)
Experience with specific AI techniques, such as neural networks or natural language processing
Knowledge of the financial services industry
Contributions to open-source AI projects
Experience with data visualization tools
Strong analytical and problem-solving skills
Ability to work independently and as part of a team
Good communication and presentation and visualisation skills
#LI-JD1
#LI-Hybrid
Company
Equifax
Qualifications
Language requirements
Specific requirements
Educational level
Level of experience (years)
Senior (5+ years of experience)
Tagged as: Data Visualization, Industry, Ireland, Natural Language Processing, Neural Networks, NLP
#J-18808-Ljbffr