Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 6 hours agoWe saw it 50 min after it went up

Lead Data Scientist

Soho House & Co.427 open roles

Where
London, England, United Kingdom
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Data ScientistSoho House & Co. · London, England, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Soho House & Co.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Soho House & Co. postings stay open a median of 23 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.1%30 days
This job: posted 6 hours ago

Soho House & Co. median: 23 days open

The posting

The Role..

We're looking for a hands-on, generalist data scientist to own ML across all parts of our broad business, including Membership, Food & Beverage, Operations, Digital and Events.

As Lead Data Scientist, you'll be the go-to expert for turning our vast datasets into predictive and prescriptive products that change how we run our Houses and serve our members, from predicting member churn and personalising what members see, to forecasting demand so our Houses are staffed well.

You'll take models from idea to production and keep them performing, always looking for new ways to create value for our members and the business.

You'll also raise the bar on how the wider analytics team measures impact, so decisions across the business rest on sound evidence.

Key responsibilities..

Machine learning products

  • Own the design, build and continuous improvement of Soho House's ML portfolio, including member churn and segmentations, personalisation and recommendation engines (e.g. events), and demand forecasting for labour and operational planning
  • Frame business problems with stakeholders, pick the right approach (which may not always be ML), and set clear success metrics tied to commercial outcomes
  • Own the full model lifecycle: scoping, development, validation, deployment, monitoring, scheduled recalibration and retirement

ML Ops and production

  • Set up ML Ops standards: version control, model registry, documentation and governance
  • Work with Data Engineering to put models into production on our stack (GCP, Snowflake, Airflow), with reliable scoring pipelines and outputs that downstream tools and teams can use
  • Build monitoring and observability for model accuracy in production (tracked against agreed thresholds and baselines), data drift and business impact, with clear alerts and review cycles

Advanced analytics and measurement

  • Set the standard for advanced measurement across the wider analytics team, educating analysts and acting as their go-to expert for things like experimentation and causal inference, and finding pragmatic, robust alternatives when the ideal method isn't possible (e.g. where randomisation can't be done)
  • Create reusable frameworks, templates and guidance so analysts can run sound tests and impact measurement on their own
  • Coach and upskill analysts, supporting the wider goal of building data literacy across the business

Stakeholders and delivery

  • Partner with Membership, Marketing/CRM, Digital, Operations and Finance to prioritise a roadmap of data science work by value
  • Explain complex methods and uncertainty clearly to non-technical audiences, including senior leadership
  • Direct and quality-assure work from offshore data science resources when workload requires: scope tasks, review code and models, and keep standards consistent

Required skills and experience

Essential

  • Significant hands-on data science experience (typically 5+ years) across a broad range of problem types, such as classification and propensity, recommendation, time-series forecasting, clustering and segmentation
  • A track record of putting models into production and owning them afterwards, not just building prototypes
  • Strong Python (our preferred language) and its data science ecosystem
  • A deep grounding in statistics, experimentation and causal inference (A/B testing, power analysis, variance reduction, difference-in-differences, synthetic control or similar)
  • Excellent stakeholder skills: can turn a vague business question into a well-framed problem and explain results in plain English
  • Comfortable as a senior hands-on IC who can also set direction for others and review their work without line-managing them

Desirable

  • Experience with a modern cloud data stack, ideally Snowflake (Snowpark, Cortex) and dbt
  • Practical ML Ops experience, e.g. MLflow or similar, Git, CI/CD, containerisation, automated retraining and monitoring
  • Experience with LLM and GenAI tools, both for your own development workflow and for data enrichment (e.g. classifying or extracting structure from unstructured text)
  • Experience in hospitality, membership, subscription, retail or consumer businesses
  • Experience coaching analysts or building a measurement or experimentation culture

Benefits..

Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career.

  • Discounts at Soho House globally, as well as Soho Home and Cowshed
  • Annual Every House Membership
  • Enhanced Pension Scheme
  • Private Health and Dental Care
  • Cycle to Work Scheme/Season Ticket Loan
  • In conjunction with Soho Impact, take 3 days paid a year to support a charity of your choice.
  • Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate.
  • Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Soho House & Co.'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Soho House & Co.'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Soho House & Co.'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.