Principal Data Scientist, Intent HQ

Salary not provided
Kubernetes
Python
Scikit-Learn
PyTorch
Git
Senior and Expert level
London

2 days a week in office

Intent HQ

Customer intelligence platform

Be an early applicant

Intent HQ

Customer intelligence platform

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingAnalyticsMarket researchMachine LearningSaaS

Be an early applicant

Salary not provided
Kubernetes
Python
Scikit-Learn
PyTorch
Git
Senior and Expert level
London

2 days a week in office

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingAnalyticsMarket researchMachine LearningSaaS

Company mission

To help organisations have more genuine relationships with their customers by using data and machine learning to understand them on a human level.

Role

Who you are

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • 6+ years as a Data Scientist with a proven track record of delivering machine learning models and insights on large-scale data sets
  • Production level coding proficiency in programming languages such as Python with experience in machine learning frameworks such as PyTorch and Scikit-Learn.Solid and broad knowledge of Machine learning theory including statistical methods, synthetic data creation, and modern deep learning techniques such as transfer learning
  • Continuous delivery of robust data science capabilities into production using Agile frameworks (e.g. git, scrum, model monitoring)
  • Comfortable working with a product manager to translate business goals into machine learning proposals which can be qualitatively and quantitatively evaluated
  • The ability to interrogate complex datasets and problem solve creatively
  • Research skills required to independently discover, apply and critically evaluate state-of-the-art ML techniques
  • Experience in leading DS projects end to end with successful deployments into production
  • Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders

Desirable

  • Experience with scalable solutions to exploit very large datasets (e.g. PySpark and Kubernetes)
  • Experience in a customer marketing insightsReporting line:Reporting to the Director of Data Science

What the job involves

  • As a Principle Data Scientist at Intent HQ, you will help answer questions like:
  • How do we create the most powerful predictive customer embeddings from customer data in a privacy safe way?
  • What are the trade-offs between optimising for marketing goals and customer experience?
  • How do we create the richest behavioural insights that help us balance between them?Can we pre-train models to deploy out-of-the-box insights to new customers?
  • How do we leverage customer response data to continuously and automatically adapt and improve our models in production?
  • We’re looking for an individual contributor who will lead a cross functional team of data scientists and ML Engineers, responsible for delivering amazing new capabilities to our customers
  • As a senior member of the Data Science community here at Intent HQ, you will mentor and guide more junior data scientists, providing technical guidance and fostering a culture of continuous learning
  • We will also invest in your development through training opportunities to keep you up to date with the latest research trends
  • As a Principal Data Scientist you will drive an innovative R&D roadmap in close collaboration with a Senior Technical Product Manager to achieve clear business outcomes
  • Your thought leadership on ML techniques and commercial AI will help the Product and Sales teams communicate effectively about the AI capabilities you are building

Salary benchmarks

Our take

Big businesses collect billions of customer data points including purchases, locations, page views, and phone calls - but most of this data isn't very useful on its own. On top of this, most businesses don’t have the ability to easily combine such diverse data, let alone make sense of it in real-time.

Intent HQ aims to solve this problem with it's privacy-first Customer Intelligence Platform created for Service Providers to manage their user data. Enabling 1-to-1 personalisation at scale, it empowers deep understanding of customers from data, making that data actionable and valuable.

Intent HQ's unique selling point is that it uses cutting-edge AI to fuel this understanding of customers. In fact, it has the ability to rank and quantify someone’s interests with such granularity that it knows, for example, that a person prefers a brand over another brand by a factor of 0.3.

According to Jonathan Lakin, Intent HQ's CEO, the end result of this interest-driven insight is marketing that is more relevant, personal and effective. A merger with Anagog, an edge AI customer engagement platform, will enable Intent HQ to leverage the powers of generative AI to provide even more relevant and personalised interactions.

Steph headshot

Steph

Company Specialist

Insights

Some candidates hear
back within 2 weeks

15% employee growth in 12 months

Company

Funding (2 rounds)

Apr 2015

$4.7m

EARLY VC

May 2014

$6.4m

EARLY VC

Total funding: $11.1m

Company benefits

  • 26 days + Public Holidays
  • Flexible Working
  • Hybrid Working Policy
  • Personal Development Opportunities
  • Mental Health Counselling
  • Family Friendly Benefits
  • Company Events
  • Company Socials
  • Pension Scheme
  • Life Insurance
  • Income Protection
  • Complimentary Breakfast (when in office)
  • Cycle to Work Scheme

Company values

  • Self-management: playing to our strengths, whilst challenging ourselves to grow
  • Initiative: getting things done without the slightest nudge
  • Ownership: I’ve got it, and I’ll keep you in the loop
  • Clarity: Being clear, informative and detailed
  • Problem solving: nothing that can’t be solved
  • Virtue: humility, thoughtfulness, kindness, honesty and appreciation
  • Team work: We before I

Company HQ

Fitzrovia, London, UK

Leadership

Previously Managing Director EMEA at Whitelight Systems for 5 years and Angel Investor at Rights Marketing Company for 7 years.

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