- Company Name
- Revolution Technology Ltd
- Job Title
- Lead Data Scientist
- Job Description
-
**Job Title:** Lead Data Scientist
**Role Summary:**
Lead end‑to‑end development of production‑ready machine‑learning solutions for energy trading and optimisation. Drive model design, deployment, and lifecycle management while guiding a cross‑functional data science team in a consultancy setting.
**Expectations:**
* 6‑month contract, 4 days onsite (London) & 1 day remote.
* Deliver scalable, data‑driven trading models and optimisation tools.
* Mentor junior data scientists and set best‑practice standards.
* Collaborate closely with domain experts, QA, and DevOps to integrate models into production systems.
**Key Responsibilities:**
1. Design, build, and validate advanced ML models (time‑series forecasting, classification, regression) for energy trading applications.
2. Develop end‑to‑end ETL/ELT pipelines and orchestrate workflows with Airflow, Dagster, or Prefect on AWS.
3. Deploy models as production services using MLOps practices, Docker containers, and managed AWS services (SageMaker, ECS/EKS, Lambda).
4. Conduct rigorous back‑testing against historical market data, evaluate performance, and refine strategies.
5. Provide actionable insights from complex, multi‑dimensional trade and market datasets.
6. Lead model monitoring, drift detection, and continuous improvement cycles.
7. Mentor peers, review code, and enforce coding standards and documentation.
**Required Skills:**
* **Programming & Frameworks:** Python, scikit‑learn, TensorFlow/PyTorch, Airflow/Dagster/Prefect.
* **MLOps & Deployment:** Docker, Kubernetes/EKS or ECS, AWS services (SageMaker, Lambda), CI/CD pipelines.
* **Domain Knowledge:** Utilities, power markets, energy trading mechanisms, asset classes.
* **Analytics:** Time‑series modelling, statistical forecasting, back‑testing, feature engineering for high‑frequency data.
* **Data Engineering:** Design and maintain ETL/ELT pipelines, data lake concepts, SQL & NoSQL databases.
* **Leadership & Communication:** Proven ability to lead projects, mentor staff, and translate business requirements into technical solutions.
**Required Education & Certifications:**
* Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Applied Mathematics, or related field.
* Professional certifications (e.g., AWS Certified Machine Learning – Specialty, Certified Data Scientist) are advantageous but not mandatory.