Senior Data Scientist

1 day ago

UK, UK, United Kingdom Psychiatry UK Full time

About the Company:

Psychiatry UK (Psych-UK Ltd) is a leading online mental health service provider that delivers high-quality psychiatric assessment, treatment, and therapy through its secure and confidential online platform. We pride ourselves on providing exceptional care and support to our patients, and we are committed to developing innovative solutions that improve mental healthcare delivery.


About the Role:

We are seeking a highly skilled and motivated Senior Data Scientist to lead our efforts in developing and implementing advanced NLP and generative AI models that enhance our mental healthcare services. The successful candidate will take on a pivotal role in driving the technical direction of projects, mentoring junior team members, and ensuring that our AI initiatives align with our broader business goals. You will work closely with our Chief AI Officer (CAIO) and collaborate with a talented team of developers, data scientists, and healthcare professionals to create innovative solutions that improve patient outcomes.


We are committed to maintaining a supportive and flexible work environment that values both personal and professional development. This role offers a unique opportunity to make a significant impact on the future of mental healthcare while enjoying a healthy work-life balance.


If you are a passionate and experienced Senior Data Scientist eager to lead innovative projects in the mental health field, and value working in a small team with a strong work-life balance, then we encourage you to apply for this exciting opportunity.


Role Expectations:

  • Lead major projects and mentor junior and mid-level data scientists.
  • Develop sophisticated predictive models, NLP algorithms, and generative AI models with a direct impact on business outcomes.
  • Work closely with the CAIO to ensure projects align with the broader AI and data strategy.
  • Collaborate with small team of developers, data analysts, cyber security specialists, business leads and other stakeholders to ensure seamless deployment of models into production.
  • Provide end-to-end responsibility for all data science projects within the team, challenging the status quo and promoting continuous improvement.


Responsibilities:

  • Develop and implement machine learning models to analyse and understand patient data.
  • Design and develop advanced NLP algorithms, generative AI models, and frameworks to support research and development.
  • Lead the training and evaluation of generative AI models, ensuring their effectiveness and reliability.
  • Utilize cloud infrastructure for model development and collaborate closely with software developers and DevOps engineers for efficient deployment.
  • Stay up to date with the latest NLP, ML, and AI research, tools, and techniques, and actively engage with the ML/AI community.
  • Present findings and recommendations to internal stakeholders and external clients.
  • Ensure coding documentation, version control, and quality assurance best practices are followed.
  • Manage workloads and documentation using tools such as Jira and Confluence.


Person Specification

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, or a related field.


Required Skills:

  • Proven experience (7-10 years) in developing and implementing NLP and generative AI models.
  • Strong background in Machine Learning, and Deep Learning techniques.
  • Proven experience in taking data science products from conception through to deployment in production.
  • Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with LLMs and Retrieval Augmented Generation (RAG) architecture.
  • Familiarity with large-scale data processing and analysis, preferably within the healthcare domain.
  • Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
  • Proficiency in using tools like Terraform, or CloudFormation for automated infrastructure deployment. Experience in setting up and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub actions.
  • Experience in deploying machine learning models as RESTful API endpoints, including handling API requests and responses, to integrate with applications like chatbots or other real-time systems.
  • Experience working in Agile teams and familiarity with Scrum practices.
  • Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team.
  • Experience with TDD and writing unit tests, particularly for data pipelines and APIs.
  • Familiarity with model registry solutions such as MLflow or Weights and Biases.


Preferred Skills:

  • Experience with LLM fine-tuning techniques such as LoRA and QLoRA.
  • Production-grade development skills with a strong understanding of efficiency and best practices in coding.
  • Experience leading the deployment of models into production environments, ensuring they are ready for seamless integration and consumption by other analytical or application teams.
  • A growth mindset with a commitment to staying up to date with cutting-edge advances in ML/AI.


Please Note: We are currently unable to provide visa sponsorship. Candidates must have the legal right to work in the UK without requiring sponsorship.


Pay range and compensation package:

  • Competitive salary and benefits package
  • Opportunity to work with a talented and supportive team of professionals
  • Chance to make a significant impact on mental healthcare delivery
  • Flexible remote work options
  • Great work-life balance
  • Ongoing training and development opportunities


Equal Opportunity Statement:

Psychiatry-UK is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and strive to provide a fair and unbiased recruitment process.

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