Back to jobsDemonstrate passion and a learning mindset to adopt new data practices and tools across ingestion, transformation, governance, and security & privacy, working across on‑prem and cloud environments (AWS preferred).
Influence and contribute to innovative approaches that unlock value from companywide and external data.
Design and build diagnostic systems using decision theory and causal models (including probability, DAG, ADMG, deterministic SME approaches, and related techniques) to predict the effects of actions and improve insight-led decision-making.
Productise diagnostic systems so they can be reused at scale.
Build robust predictive and prescriptive analytics solutions across AI disciplines (ML, DL, NLP, ES, RL) with scalability and real-time performance in mind.
Determine “Next Best Action” outcomes using prescriptive analytics methods.
Drive intelligent autonomous system utility by creating stable learning environments and improving precision over time.
Build autonomous cognitive systems that prescribe proactive actions based on ML predictions and actively solicit feedback from support functions with minimal human involvement.
Apply deep learning approaches across CNNs, RNNs and MLPs, and use modern ML/DL libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, statsmodels, Theano and XGBoost.
