Data Scientist

Alexander Mann Solutions - Contingency; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Alexander Mann Solutions—Contingency is partnering with a leading global consultancy to hire an experienced Data Scientist for a 12-month contract in the United Kingdom. You will develop ML models, clean and transform data, and communicate insights to stakeholders. Strong Python and SQL skills are essential, and prior client-facing work is preferred.

Offices in London, Birmingham and Bristol. Umbrella or PAYE engagement only.

Qualifications

• Experience using Python for data analysis, modelling and automation.
• Strong SQL querying, manipulation and analysis skills.
• Practical experience developing and applying machine learning models.

Responsibilities

• Develop and implement machine learning models to solve business problems and support data-driven decision-making.
• Analyse and interpret large datasets to identify trends, patterns, and actionable insights.
• Prepare, clean, and transform data from multiple sources for analysis and modelling.
• Evaluate, optimise, and monitor machine learning models to ensure accuracy and reliability.
• Collaborate with technical and business stakeholders to communicate findings and deliver effective data science solutions.

Skills

Python

SQL

Machine learning

Data analysis

Communication

Job description

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organizations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimizing diverse talent strategies.

AMS is supporting a leading global consulting firm in hiring an experienced Data Scientist for an initial 12-month contract. (Offices in London/Birmingham/Bristol)

Responsibilities

• Develop and implement machine learning models to solve business problems and support data-driven decision-making.
• Analyse and interpret large datasets to identify trends, patterns, and actionable insights.
• Prepare, clean, and transform data from multiple sources for analysis and modelling.
• Evaluate, optimise, and monitor machine learning models to ensure accuracy and reliability.
• Collaborate with technical and business stakeholders to communicate findings and deliver effective data science solutions.

Essential Criteria

• Strong experience using Python for data analysis, modelling, and automation.
• Strong knowledge of SQL for querying, manipulating, and analysing data.
• Practical experience developing and applying machine learning models and techniques.This is a client facing environment so excellent collaboration and communication skills with teams and clients alike, is imperative.

We will only accept workers operating via an Umbrella or PAYE engagement model.