Lead Data Scientist

Sohohouseco; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Discounts at Soho House globally

Every House Membership

Enhanced Pension Scheme

Private Health and Dental Care

Cycle to Work Scheme/Season Ticket

Charity days with Soho Impact

Job summary

Soho House seeks a hands-on Lead Data Scientist to own ML across Membership, Food & Beverage, Operations, Digital and Events. You will turn vast datasets into predictive and prescriptive products that improve how we run our Houses and serve our members, from churn prediction to demand forecasting for staffing.

You will take models from idea to production, monitor them, and drive measurement standards across the analytics team, while collaborating with stakeholders and guiding offshore resources

Qualifications

• 5+ years of hands-on data science experience across a broad range of problems.
• Experience putting models into production and owning them long-term.
• Strong Python and data science ecosystem proficiency.
• Deep grounding in statistics, experimentation and causal inference.
• Excellent stakeholder communication and ability to frame business questions clearly.
• Senior hands-on IC capable of guiding others and reviewing work.

Responsibilities

• Own the design, build and continuous improvement of the ML portfolio across business areas.
• Frame problems with stakeholders, select approaches, and set measurable success metrics.
• Own full model lifecycle: scoping, development, validation, deployment, monitoring, retraining.
• Establish ML Ops standards: registry, governance, documentation.
• Collaborate with Data Engineering to productionize models on GCP/Snowflake/Airflow.
• Build monitoring for model accuracy, data drift, and business impact; set alerts.

Skills

Python

Statistics

A/B testing

Experimentation

Stakeholder mgmt

MLOps

Tools

Snowflake

dbt

MLflow

Git

CI/CD

Containerisation

Job description

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.