Head of Product Analytics & Data Science

London
Data – Data /
Permanent /
Hybrid
About Numan 

Founded in 2018, we’ve already grown to be a 200+ team distributed across the globe united by a singular mission: empowering people to take control of their health.

Numan is transforming health: we’ve built a cutting-edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to shake off inertia, seize control of their health, and make the most of it. Which are reflected in our 5 company values: 

• Patients first.
• Deliver sustainable results at speed.
• Own the quality.
• Succeed together.
• Care deeply.

Backed by top-tier investors, Numan is already having a positive impact on hundreds of thousands of patients here in the UK.

We want you to be part of it.

The Role

As a key member of our dynamic data and analytics team, you will rapidly gain in-depth domain knowledge through close collaboration with business stakeholders. In this role, you're expected to actively engage with our community of data engineers, analysts, and BI professionals, fostering a culture of collaboration, knowledge sharing, and mutual learning.

You will swiftly become a proficient expert in Numan's data landscape, positioning yourself as a valued advocate and representative for our data team. Your expertise will not only contribute to our team's success but also drive informed decision-making across the business.

In short, this is a high-impact role for a highly communicative individual who is commercially astute and wants to be close to the decision-making part of the action. It’s the opportunity to make a difference and shape the data culture of the company that will serve us well for years to come.

You'll be:

    • Owning the relationship with the Product Teams in developing reports and  analytics 
    • Ensuring common understanding of performance of experiments (both in-flight and completed) and projected impact on downstream metrics such as LTR and LTV; facilitating a clear narrative for PMs, and Senior Leadership Team
    • Predicting LTV of new and existing customers to be leveraged for product and growth interventions
    • Identifying customers with high propensities for cross sell, upsell and churn
    • Text mining 

We’re looking for someone who has:

    • Advanced Python Skills, with broad experience of Python libraries and proficiency in Pandas, Numpy, Tensorflow/PyTorch, Scikit Learn, Numba & SpaCy
    • A deep understanding of the full life cycle of machine learning model development from feature engineering, training and deployment.
    • Experience in productionising ML models in a cloud environment.
    • Used tools to facilitate AB testing (Eg Statsig)
    • Advanced SQL Skills for data extraction, transformation and feature engineering
    • Applied Software Engineering best practices in Data Science & Analytics
Our benefits include:

📈  -  Share options.
🏖 -  25 days holiday, plus bank holidays (increasing to 30 the longer you stay with Numan). 
🩺  -  Health insurance withVitality.
🧸  -  Enhanced maternity and parental leave. 
💼  -  Employee assistance programme (access to therapy, financial planning and discounts).
⚖️  -  Generous pension (includes both employee and employer contributions).
💻  -  Flexible working options, including a dog friendly office in Farringdon. 
📚  -  Personal training and development budget via Learnerbly. 
👟  -  Gympass membership, giving you access to over 2,000 locations in the UK. 
☕️  -  Free office snacks including breakfast items, soft drinks, tea and coffee.
🚲  -  Cycle to work scheme.
%   -  Discount to Numan products for your friends and family.
🤲  -  Paid volunteering days. 
📅  -  An additional 2 weeks off once you reach your 5th anniversary with Numan.

Diversity at Numan

At Numan, people are at the heart of who we are. We recognise and value the unique perspectives and experiences that individuals from all backgrounds bring.

We promote innovation and creativity, enabling us to tackle things from various viewpoints and are committed to equal opportunities and continuously strive to create a workplace where everyone feels respected, heard, and valued.

Embracing diversity isn't just our goal; it's our strength, driving us towards a more inclusive future.