Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Associate

Job Description & Summary

As the business engineer, you will be our technical pioneer focusing on Data & Innovations. Your mission is to research emerging trends, find
creative uses for our existing tools, and engineer novel solutions to our most pressing challenges. You will bridge the gap between platforms,
automate key internal processes, and champion the use of data and AI to transform how we work.

Core Responsibilities

Conduct research on new technologies, AI kits, and data strategies to identify opportunities for innovation.Design and implement creative solutions by leveraging and integrating our existing suite of software and data platforms.Develop and deploy automation scripts and workflows to streamline internal processes, reduce manual effort, and increase efficiency.Connect disparate systems and data sources and other integration methods to create a unified data ecosystem.Translate complex data science concepts and the benefits of AI into clear, compelling language for diverse audiences, from technical teams to executive leadership.Prototype and test new ideas, moving quickly from concept to viable solutions

Must-Have

Data Analysis & Visualisation: Proficiency in SQL for data querying and experience with BI tools like Power BI or Tableau for creating insightful reports and dashboards. Strong Business Logic: You can quickly grasp business challenges and translate them into technical requirements and impactful solutions.Understanding of AI: You have a strong conceptual and practical understanding of modern AI, including LLMs, and can identify practical use cases.Rapid Learner: Demonstrated ability to pick up new skills, platforms, and complex technical concepts quickly and independently.

Nice-to-Have

Proficiency in one or more programming languages for building integrations and automation.A degree in a math-heavy field (e.g., Economics, Statistics, Physics, Engineering), Business Intelligence/Analytics, or a logical discipline combined with professional experience.Familiarity with modern collaboration and project management tools (e.g., Notion, ClickUp, Atlassian suite).A strong awareness of data security principles and best practices.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Business Intelligence (BI), Business Intelligence (BI) Solutions, Business Intelligence Tools, Structured Query Language (SQL)

Optional Skills

Artificial Intelligence, Big Data, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Intellectual Curiosity, Machine Learning, Natural Language Processing (NLP), Predictive Modelling, Programming Languages, Project Management, Statistical Analysis, Teamwork

Desired Languages (If blank, desired languages not specified)

English

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date