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Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Drive all Instant Product reporting, forecasting and budgeting tools & processes
Lead pricing analysis for instant ticket RFPs and ad-hoc commercial opportunities, from initial evaluation through final bid recommendation
Model and monitor internal printing capacity and demand on an ongoing basis, maintaining a current view of available capacity, utilization, and upcoming constraints
Evaluate the trade-offs between new opportunities and existing contracted demand to optimize highest and best use of capacity
Develop and refine pricing models, including bundled offerings, volume incentives, and performance-based structures
Build and maintain competitive intelligence on pricing, product features, and contract terms across key competitors
Partner with sales, operations, and finance to translate pricing strategy into winning bids and sound commercial terms
Conduct post-bid and post-award analysis to refine pricing approaches and improve win rates and margins over time
Present pricing recommendations and supporting analysis to commercial leadership
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5 years of experience in pricing, commercial analytics, FP&A, strategy, or a related analytical role
Strong financial modelling skills in Excel; comfort building bottoms-up cost, capacity, and margin models from scratch
Experience evaluating capacity-constrained or manufacturing-driven businesses is a strong plus
Familiarity with RFP processes, government or B2B contracting, or the lottery/gaming industry is a plus
Ability to translate complex quantitative analysis into clear recommendations for non-technical stakeholders
Bachelor’s degree in finance, economics, engineering, business, or a related quantitative field
Comfortable working with incomplete information and iterating quickly as deals develop
SQL and experience with BI tools (Tableau, Power BI, Looker)
Exposure to game theory, auction theory, or competitive bidding strategy
Prior work in print, packaging, or other capacity-driven manufacturing environments
Verified company details for this employer are not available yet.
GBP 85000-95000 yearly / year
Full-time
Senior · 5+ years experience
Remote
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