Data Scientist

Nest; City of Westminster; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading technology firm in the UK is seeking a skilled NLP Engineer to develop pipelines and applications for structured data extraction from various sources. Responsibilities include building data collection applications and deriving actionable insights. Candidates must have a strong background in Machine Learning and Natural Language Processing and be fluent in English with comprehension in Russian. This role offers opportunities for professional growth in a dynamic, multicultural team.

Benefits

Opportunities for professional growth

Dynamic multi-cultural team

Qualifications

• Fluency in English and reading comprehension in Russian required.
• Solid theoretical background in Machine Learning and NLP.
• Proficiency in relevant ML and NLP technologies.

Responsibilities

• Develop NLP pipelines to extract and classify data.
• Build applications to collect data from public sources.
• Extract insights to support experts' work.
• Take full ownership of the project from concept to deployment.
• Monitor and optimize deployed applications.
• Work independently in a dynamic startup-like environment.

Skills

Fluency in English

Strong reading comprehension in Russian

Machine Learning frameworks in Python

NLP frameworks (Hugging Face, Haystack, Flair)

SQL (PostgreSQL or equivalent)

Vector databases

AWS services (Lambda, S3, DynamoDB, etc.)

Docker

Git and GitHub

Job description

Responsibilities

• Developing NLP pipelines and applications to extract structured data from texts (news articles, social media posts, etc.), disambiguate the extracted entities, and classify texts into categories of interest (e.g., topics, tags, sentiment classes).
• Building applications that automatically collect data on various entities from publicly available sources.
• Extracting actionable insights from collected and processed data to support the work of NEST Centre experts.
• Taking full ownership of the project: from conceptualisation and requirement gathering to writing production grade code and deployment.
• Monitoring, refactoring, and ongoing optimisation of deployed applications. Comfortable working in a privately funded, startup like environment, embracing its numerous uncertainties and responsibilities.
• A proactive, can do attitude with the ability to work independently and manage tasks with minimal supervision.

Qualifications

• Fluency in English and strong reading comprehension in Russian, due to the Centre's focus and the nature of the data processed.
• Solid theoretical background and practical experience in Machine Learning and Natural Language Processing, with a track record of applying these skills to real world problems and delivering measurable value.
• Proficiency in the following technologies:
• • Machine Learning frameworks in Python
  • NLP frameworks such as Hugging Face (transformers, sentence-transformers, setfit) and/or others (e.g., Haystack, Flair)
  • SQL (PostgreSQL or equivalent dialects)
  • Vector databases
  • AWS services, especially Lambda, S3, DynamoDB, ECR, EC2, ECS, SQS, and SNS
  • Docker
  • Git and GitHub
• Adherence to programming best practices and clean code standards.
• Ability to demonstrate expertise through open-source contributions, technical blog posts, online courses, or co-authored academic publications.

Other

• Opportunities for professional growth and development.
• Dynamic multi-cultural team.
• Creating impact through projects that advance global cooperation and security.