Principal Data Scientist, Enable

Salary not provided
Senior and Expert level
London
Enable

Software for rebate management

Be an early applicant

Enable

Software for rebate management

501-1000 employees

B2BEnterpriseFinancial ServicesSaaSCloud Computing

Be an early applicant

Salary not provided
Senior and Expert level
London

501-1000 employees

B2BEnterpriseFinancial ServicesSaaSCloud Computing

Company mission

To evolve the way B2B trading partners work together into true collaboration.

Role

Who you are

  • We are hiring a Principal Data Scientist with deep expertise in machine learning and AI and experience in developing production quality solutions which deliver a huge business impact
  • The ideal candidate should also have deep industry experience inn either Financial, Logistics, Supply Chain or ERP sectors
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience
  • 5+ years customer-facing, product-delivery experience, professional services, and/or consulting experience
  • Experience working as part of geographically dispersed, diverse, and virtual teams
  • Enjoy travel and are comfortable with travel up to 25%
  • Demonstrated ability to work with customers and collaborate across company boundaries

What the job involves

  • Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level?
  • As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders
  • You will work cross-functionally with several teams including engineering, Integrations, and product management to deploy business solutions
  • Leads data-science projects or teams to align with business needs and deliver value
  • Brings new value to the business by leveraging your industry experience in terms of where resources and business needs should be allocated
  • Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-science solutions for customers
  • Leads data acquisition and understanding efforts for engineering projects using various tools and techniques
  • Develops and applies ML frameworks and best practices for scalable and ethical solutions
  • Has deep mathematical understanding of statistics and machine learning
  • Incorporates best practices for ML modelling with consideration for artificial intelligence (AI) ethics
  • Updated knowledge and LLM capabilities in developing own RAG and LLM extensions
  • Review, supports and provides best practices for data analysis and modeling techniques
  • Ensures selected modeming techniques are appropriate and align with desired project outcomes
  • Decide on the next steps (e.g., deployment, further iterations, new projects)
  • Serves as industry thought leader in data science in Rebate Management
  • Provides feedback, drives improvement, and shares knowledge as a data science and industry expert
  • Apply deep expertise to drive novel customer experiences, including early access engineering programs
  • Applies expertise to mitigate technical customer escalations
  • Writes and debugs code for complex projects and leads solution development
  • Leads ML and data-science partnerships and IP improvement
  • Partners with diverse Enable teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to above industry
  • Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective
  • Develops new techniques/methodologies for building solutions for a specific business need based on available data

Salary benchmarks

Our take

Rebates – payments from seller to buyer after the buyer has purchased specified goods – are an essential part of operations in a range of industries, acting as both an incentive to drive sales as well as a way to foster loyalty between trading partners. However, the archaic systems and timely practices surrounding the management of these rebates has the potential to negate the intended benefits. Enable delivers a rebate management platform that drives trusted relationships between B2B trading partners, by simplifying processes and minimising disputes.

Enable was founded in 2016 in response to the supply chain problems caused by the lack of trust, lost agreements, and siloed data surrounding rebates. Its platform automates processes to increase efficiency, allows rebate claims to be made in a timelier manner, manages pricing calculations and, importantly, reduces disputes by keeping accurate audit trails. The company stands out by a focus not only on simplifying rebate processes, but going further to convert rebates into an “engine for growth”.

Enable has raised considerable funding and support, and served many customers, demonstrating the utility of its product. Investment is cited to go towards increasing headcount and accelerating its growth into new global markets.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

61% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Nov 2023

$120m

SERIES D

Oct 2022

$94m

SERIES C

Total funding: $273.8m

Company benefits

  • Hybrid working environment
  • Work-life balance
  • Free food and drink
  • Generous vacation time
  • Colleague bonus plan
  • Cycle to work scheme
  • Parental leave
  • Wellness program
  • Regular social events
  • Equity plan
  • Bring your pets to work
  • Electric vehicle scheme

Company values

  • We do whatever it takes: We give it our all, always.
  • We stay curious: We are inquisitive, always learning and continually challenging ourselves and the status quo.
  • We care about the details: We focus on details big and small to improve the quality of our work.
  • We succeed together: By working collaboratively, we build a strong foundation for our success.

Company HQ

The East Cut, San Francisco, CA

Leadership

Co-Founder and former Managing Director of the eCommerce division of DCS Group. Co-Founder and former Director of Enable Infomatrix.

Member of CEO Group at Vistage Worldwide. Former Operations Director of the eCommerce division of DCS Group.

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