Python/Data Science Developer

Python – Data Science Developer

Contract Type: Contract To Perm (inside IR35 via umbrella)
Location: Canary Wharf, London (4 minutes walk from Canary Wharf train station)
Work Arrangement: Hybrid Working – 3 days onsite

Are you a passionate Python Developer with a strong background in Data Science? Do you thrive in an agile environment and want to play a pivotal role in transforming financial data into actionable insights? Our client, a leading organisation in the financial sector, is seeking an experienced Python – Data Science Developer to join their dynamic Technology team.

Key Responsibilities:

• Develop and coordinate plans for analytical initiatives, ensuring alignment with business objectives.
• Manage deliverables in an agile setting, maintaining clear communication with all stakeholders.
• Present analytical findings, status updates, and potential issues to various audience groups, including business, technology management, and model governance.
• Conduct data modelling and cleaning from both internal and external sources to ensure data integrity.
• Build predictive and prescriptive models, utilising advanced techniques to manipulate and clean data results.
• Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs), ensuring production systems adhere to technology SDLC processes.
• Implement features through the full ML lifecycle, including Development, Testing, Training, and Monitoring/Evaluation to guarantee scalability and reliability.

Qualifications:

• PhD or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• A minimum of 5 years of industry experience as a Data Scientist, specialising in ML Modelling, Ranking, Recommendations, or Personalization systems.
• Proven experience in designing and developing scalable machine learning systems for training, inference, monitoring, and iteration.
• Strong understanding of ML/DL/LLM algorithms, model architectures, and training methodologies.
• Proficient in Python, SQL, Spark, PySpark, TensorFlow, or other analytical/model-building programming languages.
• Familiarity with tools and Large Language Models (LLMs).
• Ability to work both independently and collaboratively within a team.

Preferred Skills:

• Experience in Generative AI (GenAI) and LLM projects.
• Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
• Background in the financial industry, particularly in banking and risk management.
• Knowledge of capital markets, financial instruments, and modelling techniques.

Education:

• Bachelor’s degree or equivalent experience in a STEM field.

Join us in shaping the future of data science in finance!

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