Data Scientist

Tria; Slough; On-site; GBP 58,000 - 96,000; Full time

Job summary

Tria is seeking a hands-on Data Scientist in Slough for a 6-month contract. The role focuses on building data science solutions across structured and unstructured data to enhance customer journeys. You will apply NLP and Gen AI techniques, develop models, and deploy them into production with cloud-based CI/CD.

Key tech includes SQL, Python, PySpark, NLP and Azure. Expect a practical, results-driven environment with stakeholder collaboration and defined deliverables.

Qualifications

• Translating ambiguous business challenges into analytical problems with end-to-end solutions.
• Integrating structured and unstructured data sources for feature engineering and GenAI apps.
• Proven NLP and Generative AI techniques including text classification, summarisation and embeddings.
• Strong coding practices: readability, version control, testing and reproducibility in Python/PySpark.

Responsibilities

• Develop data science solutions that improve understanding of customer journeys and operations.
• Deploy data science products into production with monitoring and CI/CD pipelines in Azure.
• Collaborate with stakeholders to present insights and drive business value.

Skills

Communication

Stakeholder management

Tools

SQL

Python

PySpark

NLP

Gen AI

Azure

Job description

Data Scientist

Slough - 2 days per week

Up to £520 per day - inside IR35

Initial 6 month contract

SQL / Python / PySpark / NLP / Gen AI / Azure

This is a hands‑on Data Scientist role within the Journey Insights team, focused on building and delivering data science solutions that improve understanding of customer contact journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes.

You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science products into production.

Key skills will include:

• Demonstrated ability to translate ambiguous business challenges into clear analytical problems, developing and delivering end-to-end data science solutions that generate tangible business value
• Experience integrating structured and unstructured data sources to create meaningful features for modelling, analysis and GenAI-powered applications
• Proven track record of developing data science solutions using NLP and Generative AI techniques, including text classification, summarisation, entity extraction, embeddings, retrieval-augmented generation (RAG) and LLM-enabled workflows
• Strong programming expertise in SQL, Python and PySpark, applying software engineering best practices such as code readability, version control, testing and reproducibility
• Experience deploying data science models and products in cloud environments, ideally Azure, including CI/CD pipelines and production monitoring
• Knowledge of database technologies, preferably including graph databases, and experience combining internal and external data sources to support analytical and modelling use cases
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts in clear, accessible language and present compelling insights to diverse audiences