3-4 days per week at home

A little flex time

Employment type
Full time

At Signal we want to help organisations identify risks and opportunities and see movements in the market before anyone else. We want to help leaders take bold decisions, safe that the data is on their side. We want to connect all those external data points together, uncover the unknown unknowns, and be at the very heart of the knowledge economy.

We’ve already built a world-class artificial intelligence platform for real-time information aggregation and analysis at a massive scale. We proved our value with monitoring and measurement products in the PR & Comms space, and are now joining the dots beyond.

We are friendly and informal people who are passionate about our brand as we all have a stake in our success. We have an inclusive environment, welcoming the skills and experience from many diverse backgrounds, and together we have created who we are and what we sell. We are proud of our achievements and continue to strive for the unknown.

We have recently completed our $25 million Series C funding round, bringing our total funding to date to $49.5 million. This latest funding round is led by Redline Capital with participation from existing investors including MMC Ventures, GMG Ventures and Hearst Ventures.

What will you be doing

As a Data Scientist, you will be a core player in the growth of our platform and of the products built on top of it. You will work within one of our platform teams to innovate, collaborate, and iterate in developing solutions to difficult problems. Our teams are autonomous and cross-functional, encompassing every role required to build and improve on our products in whatever way we see best. You will be hands-on working on end-to-end product development cycles from discovery to deployment. This encompasses helping your team discover problems and explore the feasibility and value of potential ML-driven solutions; building prototype solutions and conducting offline and online experiments for validation; collaborating with engineers and product managers on bringing further iterations for those solutions into the products through integration, deployment and scaling. You will be involved in setting the team’s objectives and key results, in monitoring product metrics, and in analysing changes in metrics and user behaviour.

This particular role will initially be within a team whose responsibilities include effectiveness and efficiency of our labelling processes and tool, training, monitoring and deployment of systems and models for entity linking, text classification and sentiment analysis, among others, across multiple data types. This team also works closely with the operation teams to ensure systems and models are properly maintained.

Requirements

You should apply if:

  • You’re an outcome-driven data scientist who is able to take ownership of work from inception to delivery.
  • You have 5 years of industrial experience in delivering business impact by developing products to solve user problems using ML and/or NLP.
  • You have good communication skills with the ability to proactively liaise with key technical and non-technical stakeholders across the organisation.
  • You have demonstrated software development skills in Python and you are comfortable pairing with engineers delivering value to the product.
  • You have an MSc in a field related to Data Science, Natural Language Processing or Machine Learning.

Nice to have:

  • PhD in a field related to Data Science, Natural Language Processing or Machine Learning
  • Experience building, deploying and maintaining Deep Learning models in production
  • Industrial experience using AWS or similar offerings

At Signal, we strongly believe that diverse teams perform better. We are committed to building and fostering an inclusive environment where our employees feel welcomed, valued and listened to - an environment where they can thrive being their true selves.

Benefits

You’ll get the opportunity to be part of something really exciting. You’ll be a key player in helping to shape Signal AI now and in the years to come. Here’s how we enable Signallers to do their best work;

  • Share options - we all own a piece of Signal AI, so we’ll all get to enjoy our success
  • Hybrid Working Environment - we have a hybrid remote policy where you will be able to work remotely 2-3 days per week.
  • Summer & Winter Fully remote blocks
  • Health Cash Plan
  • Unlimited holiday entitlement
  • Pension plan
  • Income Protection
  • Life Insurance
  • Enhanced Maternity, Paternity and Dependents Leave policies
  • Access to free therapists via Spill
  • And more …

#LI-DNI

Signal AI
Software
Artificial Intelligence
View company profile

3-4 days per week at home

A little flex time