Data Science Analyst: Predictive Modeling for Decisions

Lone Star Analysis UK; Lincoln; Hybrid; GBP 40,000 - 65,000; Full time

Benefits offered by this job

Company paid medical and dental (opt.)

Salary sacrifice pension with employer

Life assurance and income protection

Structured Career Plans and Prof. dev.

Job summary

Lone Star Analysis UK is seeking an Analyst – Data Science to build predictive and prescriptive models and simulations for decision support tools. You will collaborate with clients and SMEs, leveraging Python data science and platform deployment to deliver actionable insights.

The role emphasizes developing models, engaging with clients to translate needs into analytical questions, and ensuring solutions meet business goals while allowing flexible hybrid work in the UK.

Qualifications

• Degree or equivalent experience in computer science, engineering, mathematics or statistics.
• Strong foundation in data analytics and AI concepts.
• Experience applying data science methods to real-world problems is desirable.

Responsibilities

• Develop decision support tools and predictive/prescriptive models.
• Collaborate with clients and SMEs to capture data and requirements.
• Build and deploy models on client platforms or via the toolset.
• Engage with analysts and platform developers to deliver solutions.
• Ensure models meet client objectives and performance criteria.

Skills

Strong Python

Strong SQL

Data ingestion/cleaning

Simulation/optimisation/forecasting/ML

Maintainable Python code

Git collaboration

Translate business problem to modeling

Clear communication of findings

Understand client objectives

Testing/quality

Workload management

Willingness to travel (paid)

Education

Degree in CS/Engineering/Math/Stats or equivalent

Tools

FastAPI

Git

Pandas

NumPy

Job description

Lone Star Analysis UK is seeking an Analyst – Data Science to build predictive and prescriptive models and simulations for decision support tools. You will collaborate with clients and SMEs, leveraging Python data science and platform deployment to deliver actionable insights.

The role emphasizes developing models, engaging with clients to translate needs into analytical questions, and ensuring solutions meet business goals while allowing flexible hybrid work in the UK.