Let’s do this. Join the journey.

Hook's mission is to reinvent how businesses engage with their customers by providing machine-learnt insights to help companies radically improve customer loyalty and revenue forecasting using data.

We’ve raised $multi-million in funding from some of the top investors in Europe and the US 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

💸 £60,000 - £95,000 (depending on experience)

🏖️ 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 two 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. 

Apply for this job

At Hook, we embrace diversity in all its forms and are committed to creating an inclusive workplace where everyone feels valued and respected. We encourage applications from individuals of all backgrounds, experiences, and perspectives, as we believe that a diverse and inclusive team fosters innovation and contributes to our collective success. If you share our passion for excellence and want to contribute to a workplace that celebrates diversity, we encourage you to apply. We are an equal opportunity employer.

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.

About the role:

As our Tech Talent Partner you'll play an integral role in one of Hook’s core priorities - Hiring, to help us scale our team & business! 

You will help shape how we attract, assess, and hire top talent, helping us continue to build an inclusive and transparent hiring process & culture. You'll work closely with hiring managers and interviewers, sharing best practices in talent sourcing, to elevate our recruiting efforts. At Hook, we're committed to providing a great candidate experience that helps individuals grow in their careers. You'll also have the opportunity to support initiatives like process improvements, employer branding projects, and strategic partnerships, driving meaningful change across the organization to help set us up for success as we look to scale next year.

What you will be doing:

• Manage the full cycle of recruiting candidates from sourcing through to close with a focus on the tech roles in the business i.e. Software Engineers, Data Scientists and Technical Implementation Consultants 
• Keep our hiring bar high and be a talent consultant to both candidates and hiring managers
• Meet with hiring managers regularly to understand priority roles, desired competencies, team culture, position profile, and other key success factors to help us scale 
• Advise hiring managers on sourcing strategies based on market data 
• Consistently measure and track all aspects of the recruiting funnel to effectively report these to the hiring teams
• Work with our existing team to build process and implement best practices to hire top talent into engineering and product roles
• Help build our employer brand & hiring culture here at Hook

Requirements

• Experience in an in-house talent role with key experience hiring for tech teams 
• Desirable: Hiring engineers with python, machine learning and data experience
• Experience working in start-ups/scale-ups in a high-growth, rapidly changing environment
• Proactive - talent is an area where proactivity and consistency leads to the best candidates and smoothest candidate experience. You outreach proactively and go find the best talent, you don’t wait for it to find you. 
• Creative networker - you love finding new sources for candidates and work hard at forging and maintaining an exceptional network of talent
• Data-centric in your approach - you use key talent acquisition metrics to measure our hiring performance and identify areas for improvement 
• Culture champion - you will be the first person to meet candidates therefore are the first impression of our brand. You are passionate about culture and seek to create and maintain a brilliant impression of our people.  

Benefits

💸 £50,000- £70,000

🏖️ 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.