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Job Description

About Us

We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build engaging customer experiences for in-store retail.

Our mission is to change retail forever through hyper-personalised shopping experiences that are both simple and beautiful.

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 product and company direction.

A dynamic, collaborative work environment with cutting-edge ML challenges.

Competitive compensation and 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'd love to hear from you.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.