Data Scientist

15gifts • Brighton, ENG, GB

Actively Hiring

Full-time $69k Posted 6 months ago

Responsibilities

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

Experience in data science and machine learning, with a proven track record of deploying models in production settings.
Proficiency in writing production-grade Python
Familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow).
Experience with web development frameworks (Django, FastAPI).
Experience with containerisation technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning.
Experience working in a software engineering environment
Experience with microservice design patterns.
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.
Experience with agentic, RAG, required; council orchestration understanding, beneficial.
Previous exposure to sales funnel optimisation, sales and marketing insights, 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

check_circle Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)
check_circle Life Insurance scheme
check_circle 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)
check_circle Employee Assistance Programme (confidential counselling)
check_circle Gogeta nursery salary sacrifice scheme (save up to 40% per year)
check_circle Enhanced parental leave and pay including 26 weeks’ full maternity pay and 8 weeks’ paternity leave

Fulltime Remote Machine Learning Data Science Ai