Data Science Analyst for Decision-Support Tools

Lone Star UK; Lincoln; Hybrid; GBP 32,000 - 58,000; Full time

Benefits offered by this job

Flexible PTO 28 days

Medical & dental

Pension scheme

Life assurance

Career development

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’ll work with clients and SMEs, applying Python, SQL and statistical techniques to translate business questions into analytical solutions.

The role offers hybrid working in the UK, with responsibilities spanning model development, data preparation, validation and client engagement. Start date as soon as possible.

Qualifications

• Degree or equivalent in a quantitative field such as CS, engineering, math, or stats.
• Strong Python and SQL abilities with data cleaning and modelling experience.
• Experience translating client problems into analytical questions.
• Ability to travel to client sites.

Responsibilities

• Develop decision support tools and predictive/prescriptive models.
• Collaborate with clients and platform developers.
• Deliver insights, forecasts, and recommendations.
• Lead or participate in client meetings.
• Ensure models meet client needs and quality standards.

Skills

Python for data analysis

SQL skills

Data ingestion

Statistical modelling

Maintainable Python

Git collaboration

Translate business problems

Communication skills

Client objectives

Testing and validation

Workload management

Travel to client sites

Education

Quantitative degree or equivalent

Tools

FastAPI

React

APIs

SQL databases

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’ll work with clients and SMEs, applying Python, SQL and statistical techniques to translate business questions into analytical solutions.

The role offers hybrid working in the UK, with responsibilities spanning model development, data preparation, validation and client engagement. Start date as soon as possible.