Data Scientist

Autone; London; On-site; GBP 65,000 - 90,000; Full time

Job summary

A company transforming retail is seeking a passionate Data Scientist in London to build and deploy models for demand forecasting and inventory optimization. The role involves working with advanced statistical and machine learning models, collaborating with product teams, and contributing to tech innovations. The ideal candidate has a strong STEM background, solid proficiency in Python and SQL, and experience in deploying ML models. Competitive salary of £65-90k plus equity and a hybrid-friendly environment are offered.

Benefits

High impact work

Creative freedom

Career growth

Team culture activities

Inclusivity initiatives

Qualifications

• Strong STEM background (degree or equivalent hands-on experience).
• Experience as a Data Scientist or similar role, preferably in a startup or scaleup.
• Proven expertise in time series analysis, predictive algorithms, and optimisation techniques.
• Proficiency in Python and relevant libraries.
• Strong SQL skills.
• Experience deploying and monitoring ML models.

Responsibilities

• Partner with product managers and engineers to translate requirements into technical solutions.
• Implement and deploy advanced statistical and machine learning models for demand planning.
• Contribute to tech stack and tooling to strengthen ML/AI capabilities.
• Conduct code reviews to champion model explainability and performance.

Skills

Statistical models

Machine learning

Time series analysis

Predictive algorithms

Forecasting models

Optimisation techniques

Strong SQL

Python

Education

STEM background

Degree or equivalent experience

Tools

Python libraries (scikit-learn, Pandas/Polars, PyTorch)

SQL (Postgres)

AWS Sagemaker

Docker

Job description

Autone is transforming retail with AI-driven inventory intelligence. We’re on a mission to reimagine the future of retail. Combining cutting-edge AI with deep industry expertise to help global brands make smarter, waste-free decisions that drive growth and efficiency. Trusted by 50+ leading brands and backed by Y Combinator and General Catalyst, we’re scaling fast to build the technology that makes supply chains cleaner, leaner, and more agile.

What we’re looking for

A passionate Data Scientist with expertise in statistical and machine learning models to help us reimagine demand forecasting and inventory optimisation. If you’re excited about building and deploying models that solve real-world problems, we’d love to hear from you.

Core responsibilities

• Partner with product managers and engineers to translate requirements into technical solutions

• Implement, monitor, and deploy advanced statistical and machine learning models for demand planning and inventory optimisation

• Contribute to our tech stack, tooling, and processes to strengthen ML/AI capabilities.

• Conduct code reviews and champion best practices for model explainability, monitoring, and performance

Tech stack you’ll work with

• Languages: Python, SQL (Postgres)

• ML/AI libraries: PyTorch, scikit-learn, Polars

• Infrastructure: Docker, AWS Sagemaker, EKS, Lambda, Athena

• Orchestration & data tools: Dagster, ClickHouse, MLFlow

We’re technologically adaptable: experience with similar tools is valuable, and we welcome fresh ideas that improve our workflows.

What tou’ll bring to autone

You’ll succeed here if you have:

• A strong STEM background (degree or equivalent hands-on experience)

• Experience as a Data Scientist or similar role (startup/scaleup experience is a plus—we’re open to exceptional candidates outside this range)

• Proven expertise in time series analysis, predictive algorithms, forecasting models, and optimisation techniques (e.g., loss functions, constrained optimisation, Bayesian methods)

• Proficiency in Python and libraries such as scikit-learn, Pandas/Polars, and PyTorch

• Strong SQL skills

• Experience deploying, monitoring, and analysing the performance of ML models

Nice-to-haves:

• Retail or e-commerce domain knowledge

• Familiarity with AWS or GCP tools ( EKS/GKE, Lambda/CF, Athena/BigQuery)

• Experience with MLFlow or similar model management tools

• Familiarity with Dagster or other orchestration tools (e.g., Airflow)

What autone offers you

• High impact: your models will shape the way major global brands plan, buy, and move products

• Creative freedom: significant ownership over model development and deployment, with room to innovate

• Career growth: A meritocratic, high-growth environment where your trajectory is yours to steer

• Team culture: Pub quizzes, canoeing trips, team breakfasts and lunches, an annual all-company retreat, and more - we believe great ideas come from collaboration, curiosity, and a bit of fun

• Compensation: £65–90k base salary plus meaningful equity, depending on experience

• Location & flexibility: London-based with a hybrid-friendly setup (we value in-person collaboration but support flexible work)

• Inclusivity: we’re committed to building a diverse, inclusive team and encourage applications from all backgrounds.

The interview process

We value transparency and aim to complete the process within 2–3 weeks:

1. CV screen (30 min) + live-coding Python exercise (45 min) – introductory chat and collaborative coding

2. Machine learning brainstorm (1 hr) + Cultural fit (30 mins) – work with potential colleagues on challenges similar to those we face daily

3. Meet a C-level leader (30 min) – Learn more about our vision and goals directly from a founder or another executive.