Data Scientist
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Key skills for this role
About the Role
The role involves analyzing complex datasets, developing predictive models, and implementing AI solutions, requiring expertise in Python and strong problem-solving skills.
Key Skills for This Role
Full Job Posting
Overview
- We are seeking a highly motivated and talented Data Scientist to join our dynamic team.
- With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies.
- What we offer in this role
- A full-time, high-impact position within our dynamic Commercial team.
- A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what s possible.
- A career that challenges you to solve complex problems and rewards your drive for continuous innovation.
- A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.
- The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.
- Equity participation, ensuring long-term alignment
Key Responsibilities
- Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.
- Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).
- Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).
- Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).
- Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.
- Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.
- Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.
Requirements
- 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.
- Strong academic background in computer science, mathematics, statistics, or a related field
- Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.
- Expertise in Python programming, with an ability to apply it to advanced data science problems.
- Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.
- Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.
- Knowledge of machine learning algorithms and data visualization tools
- Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments
- This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations.
- If you possess a passion for data science and a proven track record of success, we encourage you to apply.
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