Data Scientist in Birmingham

Are you ready to turn advanced machine learning into real business impact? Our client is seeking a high-performing Data Scientist to craft cutting-edge predictive models that influence key decisions across finance, operations, and sales. This is a rare opportunity to take full ownership of model design—shaping the strategy behind revenue forecasting, margin optimization, and customer behavior trends—without distractions from data infrastructure or platform development.

*C2C is not an option with this job opening and all applicants should be able to work for any US Employer without sponsorship. Sponsorship is not provided, and this person will not need to require sponsorship in the future*

Benefits & Extras

• Hands-on ownership of advanced forecasting initiatives
• Collaborate with forward-thinking finance and strategy teams
• Mentorship and project leadership opportunities
• A chance to directly shape enterprise-level decision-making

Compensation : $130K

What You’ll Be Doing

• Designing and optimizing gradient boosting ML models (XGBoost, LightGBM, CatBoost)
• Delivering high-accuracy financial and operational forecasts
• Engineering and tuning robust, interpretable models with open-source tools
• Using internal + external datasets, including macroeconomic indicators
• Translating insights via Power BI/Tableau dashboards and stakeholder presentations
• Collaborating closely with finance, ops, and analytics leaders
• Applying modeling best practices like version control and performance testing

What You’ll Need to be Considered

• Must be local to Birmingham
• Demonstrated expertise with gradient boosting frameworks (XGBoost, LightGBM, etc.)
• Strong experience forecasting KPIs like sales trends, AR, and working capital
• Comfort building from scratch using open-source ML tools and Python or R
• Ability to translate complex models into actionable insight
• Exposure to data visualization tools (Power BI preferred)
• Experience leading modeling projects or mentoring others

#INDIT

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