Lead Data Scientist
December 4
Description
• Enable is the leading SaaS rebate management platform that fosters trusted relationships between B2B trading partners by automatically detecting and reporting on due rebates. • We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. • We are continually growing our client base, product portfolio and hyper-talented team. • Customers configure their deals, and Enable ingests and processes all their sales transactions, helping them uncover rebates they might otherwise miss. • This involves processing enormous amounts of data in very short time frames, performing billions of calculations per customer, and storing it all in enterprise-scale databases. • We provide reporting, deal editing, and collaboration capabilities, and new solutions daily to overcome significant challenges where there are no standard techniques for addressing them; maintaining our position as the market leader that creates innovative solutions every day. • As the Lead Data Scientist, you will play a crucial role in shaping the development of cutting-edge machine learning and AI-driven products. • You will collaborate closely with product and engineering teams to deliver innovative solutions that push the boundaries of AI in the optimization of rebate management.
Requirements
• M.Sc. degree in computer science, engineering or a related field. • Minimum 8 years of experience in data science and machine learning. • Proven track record in building and releasing AI/ML commercial products and services. • Proficiency in Python (Pandas, scikit-learn, SciPy, NumPy, PyTorch, TensorFlow) and/or R programming language, along with SQL. • Experience building Agentic AI systems, fine-tuning, integrating and productionalizing LLMs; and/or price optimization and simulation using Deep-Q Networks, Monte Carlo Decision Trees, or similar methods. • Deep knowledge of traditional and modern AI/ML algorithms and data modelling strategies. • Strong problem-solving, analytical, and project management skills. • Excellent communication and cross-functional collaboration abilities. • Demonstrable AI projects showcasing innovation and business impact.
Benefits
• Paid Time Off: Ample days off + 8 bank holidays • Wellness Benefit: Quarterly incentive dedicated to improving your health and well-being • Private Health Insurance: Health and life coverage for you and your family • Electric Vehicle Scheme: Drive green with our EV program • Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance • Equity Program: Benefit from our equity program with additional options tied to tenure and performance • Career Growth: Explore new opportunities with our internal mobility program
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🇬🇧 United Kingdom – Remote
💰 $100M Private Equity Round on 2022-08
⏰ Full Time
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