- Design and build core behavioural models as tooling for the behavioural AI product
- Develop client prototypes of new behavioural insights to prove value and integrate suitable capabilities into the core product
- Ideate and validate cutting-edge data science techniques to accelerate value, enhance the product, and grow the business
- Help customers leverage behavioural insights as features in their own models
- Work directly with customers to understand their problems and identify behavioural insights that deliver ROI
- Act as an evangelist and storyteller for behavioural data science in the context of agentic AI
- Champion Data Science and Applied AI internally and participate in the data science community
- Work with product, engineering, and customer success teams
- Conduct behavioural AI model research and development
Requirements
- Ability to creatively think through customers’ challenges and solve problems that enable productisation of science delivering customer ROI
- Ability to work with agents and harnesses to deliver deployable, production-ready code as part of product and engineering pods
- Knowledge and experience building and evaluating machine learning models, including clustering, sequence modelling, transformers, natural language processing, and deep learning
- Experience working closely and collaboratively with internal and external business stakeholders
- Ability to communicate technical content in commercial terms to non-technical stakeholders, including customers, sales, and product teams
- Experience with deep learning statistical models such as Transformers
- B2B product experience desirable
- Experience with Spark SQL, PySpark, and Databricks desirable
- Experience with CausalAI modelling frameworks such as DoWhy and EconML desirable
Core Competencies
Demonstrates expertise in designing and building behavioural AI models, leveraging machine learning techniques such as deep learning and natural language processing to deliver actionable insights and ROI for clients. Strong ability to communicate complex technical concepts to non-technical stakeholders and collaborate effectively across product, engineering, and customer success teams.
Highest-signal resume keywords
- Behavioural AI Model Development
- Machine Learning Model Evaluation
- Deep Learning Techniques
- Client Prototyping
- Data Science Communication
Hard Skills
- Machine Learning
- Natural Language Processing
- Deep Learning
- Clustering
- Sequence Modelling
- Transformers
- CausalAI Modelling
- Statistical Models
- Data Science Techniques
- Behavioural Insights
Soft Skills
- Creative Problem Solving
- Collaboration
- Communication
Industry Keywords
- B2B Product Experience
- Agentic AI
- Behavioural Data Science
Tools & Technologies
- Spark SQL
- PySpark
- Databricks
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Senior Applied AI Scientist employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
