Senior Data Scientist

Responsibilities:
Lead end-to-end machine learning projects, from data exploration, modelling, and deployment, ensuring alignment with business objectives.
Utilise traditional AI/data science methods (e. g., regression, classification, clustering) and advanced AI methods (e. g., neural networks, NLP) to address business problems and optimise processes.
Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVMs, TTS, etc.
Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions.
Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration.
Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems.
Work closely with other teams (e. g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems.
Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks.
Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact.
Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.
Requirements:
Proficient in Python, R, SQL for data analysis, modelling, and data pipeline development, and JavaScript.
MLOps experience.
Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec, Containerization tools (understanding), etc.
Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e. g., Hadoop, Spark).
Strong understanding of both supervised and unsupervised learning models and techniques.
Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs.
Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value.
Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment.
Educational Requirements:
Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. A master's degree or a PhD is a plus.
7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes.
ADM is an EOE for minorities, females, protected veterans and individuals with disabilities.
Before applying for an exempt, non-exempt or hourly job opportunity, you are expected to initiate a discussion and share your intentions with your supervisor.
If you've been in your current position for more than 18 months, supervisor approval is not required.
If you've been in your current position for less than 18 months, verbal supervisor approval is required.

Experience
7-11 yrs