Data Scientist

Randstad Technologies Recruitment; City Of London; Hybrid; GBP 45,000 - 70,000; Part time

Job summary

A global IT services provider is seeking a Data Scientist to support a high-impact AI initiative within the financial sector. The role involves collecting and analyzing data, building ML models, and communicating insights through visualizations. Strong Python skills, familiarity with ML libraries, and excellent communication capabilities are required. This is a contract position with remote flexibility in the UK.

Qualifications

• Proven experience in data science and machine learning.
• Strong Python skills and familiarity with ML libraries.
• Experience with data visualization tools.

Responsibilities

• Collect, clean, and preprocess data from diverse sources.
• Perform exploratory data analysis to uncover trends.
• Design and implement data pipelines with data engineering teams.
• Build and validate ML models for various tasks.
• Communicate insights through dashboards and visualizations.

Skills

Data science and machine learning experience

Strong Python skills

Familiarity with ML libraries

Data visualization skills

Excellent communication skills

Familiarity with Agile methodologies

Tools

Scikit-learn

TensorFlow

PyTorch

Power BI

Tableau

Job description

Role: Data Scientist
Location: Remote within the UK, hybrid attendance only when required
Type: Contract (6 Months, Inside IR35)

My client, a global IT services provider, is seeking a Data Scientist to support a high-impact AI initiative within a commercial banking environment. This role sits within a collaborative delivery team focused on advanced analytics and machine learning solutions that drive strategic insights and operational efficiency.

Responsibilities

• Collect, clean, and preprocess structured and unstructured data from diverse sources
• Perform exploratory data analysis (EDA) to uncover trends and anomalies
• Design and implement data pipelines in collaboration with data engineering teams
• Apply feature engineering and selection techniques to enhance model performance
• Build and validate ML models for prediction, classification, clustering, and optimization
• Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning
• Implement NLP, time-series forecasting, and optimization algorithms as needed
• Collaborate with MLOps teams to deploy production-grade pipelines
• Communicate insights through dashboards and visualizations using Power BI, Tableau, or Python
• Engage with stakeholders to define use cases and success metrics
• Participate in Agile ceremonies and contribute to the enterprise AI roadmap

Required Skills

• Proven experience in data science and machine learning
• Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)
• Ability to translate complex model outputs into actionable business insights
• Excellent communication skills with both technical and non-technical audiences
• Familiarity with Agile methodologies and cross-functional collaboration
• Background in banking or financial services is a plus

Ready to make an impact in a high-profile AI project within the financial sector? We're keen to hear from you - apply now.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.