Summer Intern 2026 - Marketing at NNBI Holdings Pty Ltd
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

0.0

Posted On

19 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI, Data, Sales Enablement, Analytical Skills, Data Visualization, Excel, Power BI, Tableau, Python, SQL, Business Analysis, Communication, Process Mapping, Workflow Documentation, Change Management, Collaboration

Industry

Financial Services

Description
About the role We’re seeking a proactive, analytically minded intern with a strong interest in AI, technology, and data to help advance sales and marketing effectiveness. Partnering with stakeholders across Marketing, Sales, and Technology Enablement, you’ll support strategic enablement initiatives that leverage data and AI capabilities to improve pipeline quality, conversion, and overall sales and marketing impact. What you’ll do Sales Enablement Explore and prototype AI-enabled solutions to drive sales effectiveness Build and test analytical models to generate actionable insights for sales and marketing teams. Evaluate AI tools and data pipelines for usability, reliability, and impact; document findings and recommendations. Impact Analysis Collaborate with key stakeholders, including Digital Business Strategy & Operations Lead and Channel Marketing Leads, to define key performance metrics and success criteria for campaigns and initiatives to demonstrate effectiveness of activities and return on investment Support Digital Business & Operations Lead to drive accountability and enable data driven decision making by producing concise reports, dashboards and presentations that communicate impact, insights and next steps Operational Excellence & Business analysis Translate requirements into clear process maps, user stories, and workflow documentation. Support development of change management materials (playbooks, training guides, comms plans etc) to enable adoption. What you’ll bring Interest and exposure in AI and data Familiarity with generative AI tools and concepts (prompting, model evaluation, ethical use). Experience with spreadsheets and data visualization tools (e.g., Excel, Power BI/Tableau, or similar). Basic coding or scripting is a plus (e.g., Python, SQL, or working with AI APIs/low-code tools). Analytical and statistical skills Ability to clean, analyze, and interpret data; knowledge of basic statistical concepts Support Digital Business Strategy & Operations Lead to interpret the data, derive insight and provide recommendations to optimize the client experience and drive effectiveness of content distribution Business analyst capabilities Experience capturing and structuring requirements, documenting processes, and mapping workflows. Clear, structured communication - able to translate technical ideas for non-technical stakeholders. Ways of working Self-starter with strong ownership, curiosity, and follow-through. Organized and detail-oriented; able to manage multiple tasks and deadlines. Collaborative, professional, and comfortable engaging with stakeholders at different levels. Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

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Responsibilities
The intern will explore and prototype AI-enabled solutions to enhance sales effectiveness and support strategic initiatives across Marketing, Sales, and Technology Enablement. They will also collaborate with stakeholders to define performance metrics and produce reports that communicate insights and recommendations.
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