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Senior Data Analytics Specialist

1 month ago

London, Greater London, United Kingdom Intent HQ Full time

About Us

Intent HQ is a leader in Customer AI Analytics and Data Science with a blue chip international enterprise customer base and solid financial backing from our investors. Our mission is to become the world's preeminent Customer Intent platform by bringing together privacy-first signals intelligence, proprietary behavioural AI/ML analytics & uniquely accessible enterprise insights into a single platform that organisations will use to build more genuine, sustainable and profitable relationships with their customers.

We've focused on understanding customer interaction data, doing the hard-specialised work and leaving our clients free to focus on integrating the insight into their business, with one client seeing an additional £26m annual revenue as a result of using our products and services.

Why Choose Us:
  • Exciting Work Environment: Work on cutting-edge technology at the intersection of AI and data analytics.
  • We are Winners: AI Company of the year 2024 & Best in Tech Employer Women in Tech awards 2022 & 2023
  • Impactful Role: Directly influence the company's legal and risk management strategies.
  • Growth Opportunities: Advance your career in a fast-paced, innovative industry. IHQ Data Scientists provided training days to keep ahead of the latest AI industry trends.
  • Hybrid Working: Work from our London office 2 days per week with the rest remotely.

The Opportunity:

As a Principal Data Scientist at Intent HQ, you will help answer questions like how to create the most powerful predictive customer embeddings from customer data in a privacy-safe way, how to create the richest behavioural insights that help us balance between them and how to 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.

Responsibilities:

  • Drive an innovative R&D roadmap in close collaboration with a Senior Technical Product Manager to achieve clear business outcomes.
  • Make thought leadership on ML techniques and commercial AI to help the Product and Sales teams communicate effectively about the AI capabilities you are building.

Requirements:

  • 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.
  • Continuous delivery of robust data science capabilities into production using Agile frameworks (e.g. git, scrum, model monitoring).

Diversity & Inclusion

Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards, under the Best Tech Employer (51-149 Employees)' category & being shortlisted for the Best Employer for Parental Support award - an achievement we are very proud of.

Culture

Our culture is collaborative, innovative and sociable, oriented towards performance and competitive advantage. We promote a flexible and family-friendly approach with a focus on personal development.

Benefits

  • Flexible working
  • Free breakfast daily (when in the office)
  • 26 days holiday (increasing with service)
  • Pension scheme
  • Income Protection with Employee Assistance Programme
  • Life Assurance
  • Oliva Mental Health platform and counselling
  • Higher than statutory maternity/paternity benefits
  • Work socials
  • Wellbeing programme
  • Cycle to work scheme
  • Training opportunities