- Company Name
- Auto Trader UK
- Job Title
- Data Scientist
- Job Description
-
**Job title:** Data Scientist
**Role Summary:**
Lead end‑to‑end machine‑learning projects for a large automotive marketplace, designing, building, and deploying data‑driven products such as personalized recommendations, search optimizations, AI‑based listing tools, and customer segmentation models. Work autonomously within a cross‑functional squad while collaborating closely with software engineers, data analysts, and product owners.
**Expectations:**
- Deliver production‑ready ML solutions with rigorous validation and scalability.
- Translate business problems into data‑science models, communicating insights to non‑technical stakeholders.
- Maintain high scientific standards across the ML lifecycle: data preparation, feature engineering, model training, evaluation, deployment, monitoring, and iteration.
- Participate in peer reviews, knowledge sharing, and continuous improvement of team practices.
**Key Responsibilities:**
- Design and implement ML pipelines using Python, Databricks, Spark, and MLFlow.
- Develop, train, and evaluate models (supervised, unsupervised, or Bayesian) for recommendation, ranking, and classification tasks.
- Collaborate with back‑end developers to integrate models into production services (Airflow, GCP).
- Build and maintain data models in BigQuery & dbt; orchestrate data workflows with GCP pipelines.
- Conduct statistical analysis, A/B testing, and causal inference to assess model impact.
- Create clear documentation, reports, and demos for internal stakeholders.
- Mentor junior analysts and contribute to community knowledge sites and workshops.
**Required Skills:**
- 3+ years of experience delivering data‑science solutions in commercial or research settings.
- Strong grasp of ML algorithms, statistical methods, and hypothesis testing.
- Proficiency in Python, Spark, and MLFlow; experience building end‑to‑end pipelines.
- Familiarity with GCP services (BigQuery, Dataflow, Cloud AI) and orchestration tools (Airflow).
- Knowledge of dbt and data modeling principles.
- Excellent communication skills; ability to explain complex concepts to non‑technical audiences.
- Collaborative mindset; proven ability to work with software engineers, product managers, and data analysts.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Statistics, Data Science, or related field (Master’s or PhD preferred).
- Certifications in machine‑learning platforms or cloud technologies beneficial (e.g., Google Professional Data Engineer, Databricks Certified).
Manchester, United kingdom
Hybrid
Senior
02-12-2025