Senior Data Scientist

algo1; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading VC-backed startup in London is looking for a Senior Data Scientist specializing in machine learning and data science systems. You will design scalable machine learning solutions for retail, working with advanced technologies to optimize customer-centric growth and innovation. Join us to make a significant impact in transforming shopping experiences through AI.

Benefits

Opportunity to build transformative technology

Real ownership and impact on product direction

Dynamic and collaborative work environment

Competitive compensation

Equity in a rapidly growing company

Qualifications

• 3-5+ years implementing advanced data science solutions in a commercial setting.
• Expert-level proficiency in Python with strong code development skills.
• Experience building real-time or batch data pipelines.

Responsibilities

• Design and implement scalable machine learning for complex data analysis.
• Translate machine learning advances into production-ready systems.
• Bring models to production and optimize for edge computing.

Skills

Machine Learning

Data Analysis

Predictive Modelling

Python

Education

MSc in Computer Science, Machine Learning or related field

Tools

Apache Spark

Kafka

Airflow

dbt

Job description

Direct message the job poster from algo1

C-level leader building retail behavioural-AI, turning data into customer-centric growth and digital transformation

About Us

We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience.

About the Job

We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics.

Key Responsibilities:

• Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling.
• Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems.
• Bring your models to production and optimise for inference in edge computing environments.

Essential Qualifications:

• 3-5+ years implementing advanced data science solutions in a commercial setting.
• MSc in Computer Science, Machine Learning, or a related field.
• Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).
• Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting.
• Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code.

Desired Skills (Bonus Points):

• Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement.
• Experience with recommender systems and/or behavioural AI.

What We Offer:

• Opportunity to build technology that will transform millions of shopping experiences
• Real ownership and impact in shaping our product and company direction
• A dynamic and collaborative work environment
• A chance to work with cutting-edge technologies and solve challenging problems
• Competitive compensation
• Equity in a rapidly growing company

If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we encourage you to apply.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Research

• Industries

  Software Development

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