We are looking for a Senior Data Scientist to join our
multi-skilled product teams and participate
in our agile process.
The successful candidate will join our multi-skilled product teams and participate in our agile process.
You will also be supported by our dynamic Data team and benefit from talking shop with our other data roles including; Data Scientists, Data Engineers, Analytics Engineers and our Machine Learning Engineer.
A strong foundation in machine learning theory and practical experience, particularly in NLP, is essential for success in this role. We are also looking to push the performance boundaries of our new product as far as possible, so experience and knowledge on techniques like reinforcement learning and domain-specific knowledge in sales will be invaluable.
Your responsibilities will include ensuring that our development adheres to industry best practices and integrates state-of-the-art techniques to tackle complex challenges with innovative solutions.
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.
– 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, making use of accelerated hardware resources where needed.
– Collaborate closely with cross-functional teams, including other Data Scientists and Machine Learning Engineers, to integrate AI solutions into our tech stack.
– Contribute to the transition from our current guided selling engine to the new AI-powered product.
– 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.
– A minimum of 5 years of experience in data science and machine learning, with a proven track record of deploying models in production settings.
– Advanced proficiency in Python and familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow).
– Experience with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning.
– Expertise in a range of machine learning techniques, including:
– 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 highly desirable.
– Employee Assistance Programme (confidential counselling)
– Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)
– easitBrighton travel scheme (discounted public transport options)
– Cycle to work scheme
– Life Insurance scheme
– 25 days annual leave + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)
– Contributory pension scheme
