Data Scientist

This mid-level data science role is based within a cross-functional agile delivery team, working on our groundbreaking genAI product. The successful applicant will be crucial in collaboratively researching and building features to personalise and power intelligent user interactions.

Your responsibilities will include hands-on product development adhering to industry best practices including model development and deployment, as well as using techniques like re-enforcement learning to improve product performance.

A solid foundation in machine learning theory and practical experience, particularly in NLP, is essential for success in this role.

Responsibilities

• Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks.
• Work extensively with PyTorch and other machine learning frameworks to build and iterate on models.
• Optimise and productionise models inside the AWS ecosystem, using accelerated hardware resources where needed.
• Build intelligent guardrails to protect our users, product and customers.
• Collaborate closely with cross-functional teams, including other data scientists and machine learning engineers, to integrate AI solutions into our tech stack.
• Explore and implement cutting-edge techniques like reinforcement learning and LLM fine-tuning.
• Explore and implement methods for measuring the performance of products and gaining insights into performance metrics.
• Documentation and active knowledge sharing.
• Cross-functional team collaboration.
• Adherence to best practices, including code quality and security.
• Continuous learning and development.
• Responding to alerts from monitoring systems on models or technology in the data science domain (during work hours).

Skills and experience

• A minimum of 3 years of experience in data science and machine learning, with a proven track record of deploying models in production settings.
• Proficiency in Python and familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow).
• Experience with containerisation technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning.
• Experience in a range of machine learning techniques, such as:
• NLP techniques like text embeddings, large language models and entity & intent recognition.
• Reinforcement learning algorithms and applications.
• Recommendation techniques and algorithms.
• Supervised and unsupervised machine learning techniques.
• Prediction and uplift modelling techniques.
• Previous exposure to sales psychology and its application in data-driven contexts is beneficial.
• Excellent communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders.

Diversity is incredibly important to us. Research shows how people from marginalised groups are less likely to apply for a job unless they meet every requirement. However, these accountabilities are a guide and, if you feel like this role could be for you and you don’t meet every criteria, please do apply. We’d love to hear from you.

Benefits include

• Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)
• Life Insurance scheme
• 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)
• Contributory pension scheme

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