Data Scientist (Hybrid Data Scientist & Data Engineer)

📍 Central London (Hybrid On-Site) | 💼 Financial Services

I'm looking for a Data Scientist with strong Data Engineering capabilities to join a leading financial services business in Central London on an initial 6 Month Contract basis.

The role is INSIDE of IR35. The Day Rate is yet to be defined but I think we'll be around the £600 P/D mark.

This hybrid role requires on-site presence and is ideal for professionals who can bridge the gap between data engineering and data science, owning the entire data lifecycle from ingestion to production deployment.

Key Responsibilities

Data Engineering & Collection – Build and maintain scalable data pipelines, ensure data quality, and manage structured/unstructured datasets.
Data Exploration & Preparation – Perform data wrangling, cleaning, and exploratory analysis to derive business-ready datasets.
Model Development – Design, develop, and validate statistical models and machine learning solutions to solve complex financial services challenges.
Productization & Integration – Deploy and integrate models into production systems, ensuring reliability and scalability.
Monitoring & Maintenance – Track performance of pipelines and models, implementing retraining and performance optimization strategies.
Communication & Visualization – Present insights clearly through dashboards, reports, and storytelling to both technical and non-technical stakeholders.

Key Skills & Experience

Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Strong SQL skills and experience with data warehouses (e.g., Snowflake, BigQuery, Redshift).
Experience with cloud platforms (AWS, GCP, or Azure) and modern data engineering tools (e.g., Airflow, dbt, Spark).
Solid understanding of machine learning, statistical modeling, and data science best practices.
Ability to create impactful data visualizations (e.g., Tableau, Power BI, Plotly).
Strong problem-solving skills with the ability to communicate insights effectively.
Experience working in financial services or another highly regulated environment is highly desirable.

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