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:

As a Data Scientist Lead, you will:

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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