Data Scientist
We are looking for a Data Scientist to join the analytics team of a leading Life Sciences / Pharma insights agency. The role focuses on advanced data modelling, NLP analysis, and transforming complex datasets into meaningful insights for pharmaceutical clients.
This is a hands-on role for someone who enjoys working with real-world datasets, building models, and communicating insights to stakeholders in the healthcare and scientific space.
The position is remote, full-time, and initially offered as a 6-month contract with strong potential extension.
ROLE OVERVIEW
You will work closely with analysts, researchers, and client teams to develop data science solutions that support insight generation for pharmaceutical and healthcare projects.
The role combines advanced modelling, NLP analysis, and data analytics, with an emphasis on interpreting complex data and presenting results clearly to non-technical stakeholders.
KEY RESPONSIBILITIES
Data Science & Modelling
- Develop machine learning and statistical models to analyse structured and unstructured data
- Apply NLP techniques such as topic modelling, clustering, text classification, and sentiment analysis
- Work with large datasets from surveys, research, and digital sources
Advanced Data Analysis
- Perform exploratory data analysis and statistical investigations
- Identify patterns, trends, and meaningful signals in complex datasets
- Translate modelling results into actionable insights
Data Processing & Pipelines
- Build and maintain data processing workflows
- Work with ETL pipelines and data transformations
- Ensure data quality, validation, and consistency
Insight Communication
- Present analytical findings clearly to internal teams and clients
- Build visualisations and reports that communicate complex results effectively
- Collaborate with analysts and consultants to shape research outputs
AI & LLM Applications
- Experiment with LLMs and AI tools for text analysis, summarisation, and insight generation
- Use modern AI-assisted development tools to accelerate workflows
REQUIRED SKILLS
- Strong Python skills for data science and analytics
- Experience with machine learning and statistical modelling
- Practical experience with NLP techniques (topic modelling, embeddings, classification, clustering)
- Experience with data analysis libraries such as pandas, NumPy, scikit-learn
- Ability to work with messy real-world datasets
- Strong analytical thinking and problem-solving ability
Ability to clearly explain complex analytical results
NICE TO HAVE
- Experience working in Pharma, Life Sciences, or Healthcare analytics
- Experience working in agencies or consulting environments
- Familiarity with LLMs or AI-assisted data analysis tools
- Experience with data visualisation tools (e.g. Tableau, Power BI, Python visualisation libraries)
IDEAL CANDIDATE
You are someone who:
- enjoys building models and analysing complex datasets
- understands how to turn modelling results into insights
- can communicate findings clearly to non-technical audiences
- is comfortable working in a fast-paced consulting environment
Required skills experience
| Python | 2 years |
Required languages
| English | C1 - Advanced |