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Data Scientist

About Hook

Hook's mission is to empower subscription businesses with machine learning in order to help them improve customer loyalty and revenue generation from existing customers.

We’re a Series A company who have raised $multi-million in funding from some of the top investors in Europe and the US (e.g. Balderton Capital and Lightspeed) and have an enviable list of customers that we’re working with including some of the fastest growing companies in the world. We’re looking for ambitious people that want to be part of our meaningful vision of changing how businesses engage with their customers, and of building one of the world’s leading workplaces for great people along the way.

One of the foundational technical challenges at Hook is to create self-service data and ML pipelines for our customers which surface useful business outputs like churn and upsell prediction.

Responsibilities:

You will wear many hats as a data scientist at Hook. Your day-to-day will include:

  • Deeply understanding product problems for anchoring machine learning solutions

  • Getting embedded in customer implementations and delivering high quality models

  • Assessing the quality and completeness of data from different sources

  • Using different machine learning and statistical techniques and evaluating their performance

  • Clearly communicating with internal and external stakeholders to explain model results and underlying data

  • Collaborating in a team with technical and non-technical colleagues

  • Owning significant parts of our data science processes and proposing and leading new improvements

  • Continuously monitoring model performance and ensuring high quality consistent results

There’s a lot going on - you’ll be building a brand new category of SaaS product! The more you want to be involved, the more you will find there is to do and the more impact you will have on our joint success.

Requirements:

We're looking for an ambitious self-starter who wants to be part of an early-stage company full of amazing talent and with a global vision.

  • Strong product mindset with a keen interest in using data to solve customer problems

  • Experience working with different machine learning and statistical modeling techniques

  • Experience working with data and machine learning products in production

  • Excellent communication skills, with the ability to effectively collaborate and convey ideas to diverse stakeholders

  • Experience working with Python and different data and ML libraries

  • Experience working with SQL and relational databases

  • Desirable: Experience/interest in working with LLMs in production

Benefits

🏖️ 27 days holiday (option to buy and sell holiday) + bank holidays

📈 Generous stock options

🏥 Private health insurance so you can get the best care you need

🧘 Flexible monthly wellness allowance that you can use monthly on things like gyms, yoga, mental health & healthy food

📚 Annual learning & development budget for every employee

🏢 Flexible working - we’ll all come together three days a week but otherwise you can work from home or come into our awesome office in Liverpool Street

💻 The best equipment for everyone to work with

Our founder and team are incredibly passionate about creating a company culture that is diverse, inclusive, productive and enjoyable for all our colleagues. As part of a growing start-up team, we expect a lot from you and will work hard to make sure you have everything you need to be at your best.

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 10, 2025

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