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 at a leading SaaS tech company. This applied AI role focuses on driving innovation by strategically developing and integrating novel AI solutions across both our products and business operations. With machine learning unlocking advanced insights and solutions, and the rapid evolution of large language models (LLMs) transforming how we approach industry challenges, we are looking for a forward-thinking Lead Data Scientist to join our newly established ML and Data Science team. 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. We foster a culture of collaboration and growth, where your contributions will shape the company’s future and allow you to grow alongside us.
What we are asking you to do!
- Explore vast, untapped data assets and provide strategic recommendations on AI initiatives to senior leadership.
- Conduct in-depth applied research and implement AI solutions across diverse products and services.
- Create, and maintain evaluation pipelines and tools for assessing AI models’ performance and accuracy.
- Collaborate with Engineering leadership to ensure seamless integration of AI capabilities into existing systems and offerings.
- Design and execute a comprehensive AI strategy that aligns with the company’s business objectives.
- Engage with key stakeholders to ensure AI initiatives meet company goals, and effectively communicate results to both technical and non-technical audiences.
- Ensure all AI applications adhere to ethical standards, industry best practices, and legal requirements.
- Partner with Product Management and Engineering teams to develop a roadmap for the delivery of AI and machine learning tools.
- Collaborate with Data Engineering to build a cutting-edge data platform that unlocks the full potential of the company's data.
- Serve as a thought leader in AI and data science, driving innovation and staying ahead of industry trends to enhance existing products.
What we are asking you to bring!
- 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.
What makes you stand out!
- Ph.D. in computer science, engineering or a related field.
- Publications in machine learning and artificial intelligence conferences and journals.
- Knowledge of ML systems design.
- Familiarity with deploying models into productions using MLOps technologies (e.g. MLFlow, KubeFlow etc).
- Leadership experience in a team-oriented workplace.
- Experience in supply chain management, distribution systems, rebate management, retail or related industries.
Total Rewards
At Enable, we strive to be a great place for all Enablees to grow and be recognized for that growth. Through our assessment and interview process, we will identify your level that ties to our compensation bands based on your experience and technical expertise along with the scope of the role.
To determine an Enablee's starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. This position may also be considered a promotional opportunity.
Benefits
Salary/OTE is just one component of Enable’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as the option to purchase company shares, as appropriately approved by the Company’s Board of Directors in accordance with Enable’s Equity Purchase Plan. Enable is committed to investing in the holistic health and wellbeing of all Enablees and their families. Our benefits and perks include, but are not limited to:
- 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
Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
