Analyst Program – Engineering (Data Science) (Manchester)

Salary: £39,000 - 79,000 per year

Requirements:

• Enrolled in a 3- to 4-year undergraduate degree program; business-related and/or technology-related majors are preferred.
• Graduating in December 2026 or May 2027.
• On track to achieve a 2.1 or higher.
• Do not require employment visa sponsorship now or in the future in the country where you are applying.

Responsibilities:

• Apply data science and analytical methods to solve business and engineering problems.
• Analyze data, perform profiling and feature engineering, and identify patterns, trends, and anomalies.
• Build and automate analytical processes, models, and tools to improve decision-making and efficiency.
• Partner with engineering and business teams to turn data insights into practical recommendations.
• Help teams understand business outcomes through data-driven insights and analysis.
• Contribute to solutions that improve processes, uncover opportunities, and support better decisions.
• Support the development of analytical capabilities that strengthen our products, platforms, and operations.

Technologies:

• CSS
• Support
• Java
• JavaScript
• Machine Learning
• Python
• AI

More:

We are offering the 2027 BNY Summer Analyst Program in Engineering (Data Science), a rotational experience featuring engaging Agile projects and hands‑on exposure to our culture, people, business, and impact. Analysts gain a technical experience working with JavaScript, Python, CSS, Java, and other technologies, with exposure to data analysis, advanced analytics, machine learning, distributed computing, and scalable data‑driven solutions. Our 24‑month rotational Analyst Program includes structured onboarding, immersive induction, executive speaker series, skill development, networking, meaningful project work, mentorship and career support, exposure across teams, and professional, technical, and financial services training. At BNY, we are a global financial services company working with clients to develop solutions using advanced technologies. We offer competitive compensation, benefits and wellbeing programs, flexible global resources, and generous paid leave, including paid volunteer time. We are an Equal Employment Opportunity/Affirmative Action Employer.

last updated 40 week of 2026