At a Glance
- Tasks: Bridge business needs with data science and GenAI solutions, translating requirements into actionable specifications.
- Company: Join UST, a leader in IT services and consulting, driving innovation through AI and data science.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Immediate start preferred; collaborate with diverse teams in a dynamic environment.
- Why this job: Be at the forefront of AI technology, shaping impactful projects that drive real business outcomes.
- Qualifications: 5+ years as a Business Analyst with strong data science and GenAI knowledge; SQL and BI tool proficiency required.
The predicted salary is between 48000 - 72000 £ per year.
Technical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis)
Join to apply for the Technical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis) role at UST
Technical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis)
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Role Description
Technical Business Analyst – Data Science
Role Description
Technical Business Analyst – Data Science
London (Hybrid)
Permanent
Immediate start candidates preferred
We are looking for a dynamic and results-driven Technical Business Analyst with a strong background in data science and a growing expertise in Generative AI (GenAI) technologies. This role will be key in bridging business needs with advanced data science and AI capabilities, helping to define use cases, translate requirements, and drive measurable outcomes for GenAI and data initiatives.
The Role
- Work closely with stakeholders to identify and prioritise business opportunities that can be addressed through data science and GenAI solutions.
- Gather, document, and translate business requirements into clear, actionable specifications for data scientists, ML engineers, and GenAI developers.
- Perform exploratory analysis, data profiling, and feasibility assessments for potential projects.
- Shape and evaluate GenAI use cases such as copilots, summarisation tools, and personalisation engines.
- Collaborate across IT, Product, and Data Engineering teams to ensure seamless integration of GenAI and data-driven products into business workflows.
- Monitor and report on project performance, KPIs, and ROI for AI and machine learning deployments.
- Stay updated on emerging GenAI technologies and contribute to evaluating new tools and vendors.
- Support the development of user training, documentation, and internal knowledge bases for AI and data solutions.
- Minimum 5 years’ experience as a Business Analyst in data-focused environments.
- Solid understanding of the data science lifecycle, model development processes, and/or GenAI concepts (e.g., LLMs, prompt engineering).
- Strong analytical and problem-solving skills, with the ability to interpret and communicate complex data outputs.
- Experience creating business cases, user stories, and functional requirements.
- Proficient with SQL, Excel, and BI tools (such as Power BI or Tableau) alongside collaboration platforms like Jira and Confluence.
- Excellent communication and stakeholder management skills across both technical and business teams.
- Exposure to GenAI platforms (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.).
- Knowledge of ethical AI principles, model evaluation methods, and data governance frameworks.
- Previous experience within consulting, product management, or innovation-focused teams.
#UST
Skills
Business Requirements,Business Case Development,Data Governance
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Business Development and SalesIndustries
IT Services and IT Consulting
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#J-18808-LjbffrTechnical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis) in London employer: UST
UST is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Technical Business Analyst role in London. With a strong emphasis on employee growth, UST offers opportunities to engage with cutting-edge technologies like Generative AI, while also providing a hybrid work environment that promotes work-life balance. Employees benefit from comprehensive training, mentorship programmes, and a commitment to ethical AI practices, making it a rewarding place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis) in London
✨Tip Number 1
Familiarise yourself with the latest trends in data science and Generative AI. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field of data science and AI. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss specific use cases of Generative AI that you've encountered or worked on. Being able to articulate real-world applications will demonstrate your practical understanding and readiness to contribute to the team.
✨Tip Number 4
Showcase your analytical skills by preparing examples of how you've previously gathered and translated business requirements into actionable specifications. This will highlight your ability to bridge the gap between technical teams and business stakeholders.
We think you need these skills to ace Technical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Business Analyst, particularly in data-focused environments. Emphasise your understanding of the data science lifecycle and any relevant GenAI technologies you've worked with.
Craft a Compelling Cover Letter:In your cover letter, explain why you're passionate about data science and GenAI. Mention specific projects or experiences that demonstrate your analytical skills and ability to bridge business needs with technical solutions.
Showcase Relevant Skills:Clearly list your proficiency in SQL, Excel, and BI tools like Power BI or Tableau. Highlight any experience with collaboration platforms such as Jira and Confluence, as these are crucial for the role.
Prepare for Technical Questions:Be ready to discuss your understanding of GenAI concepts and the data science lifecycle during interviews. Prepare examples of how you've translated business requirements into actionable specifications in past roles.
How to prepare for a job interview at UST
✨Showcase Your Data Science Knowledge
Make sure to highlight your understanding of the data science lifecycle and model development processes. Be prepared to discuss specific projects where you've applied these concepts, especially in relation to Generative AI technologies.
✨Prepare for Stakeholder Management Questions
Since this role involves working closely with various stakeholders, be ready to share examples of how you've effectively communicated complex data outputs to both technical and non-technical teams. This will demonstrate your strong communication skills.
✨Demonstrate Analytical Problem-Solving Skills
Expect questions that assess your analytical and problem-solving abilities. Prepare to discuss how you've approached challenges in previous roles, particularly those involving data analysis and feasibility assessments for projects.
✨Familiarise Yourself with GenAI Tools
Given the focus on Generative AI, it’s beneficial to have a basic understanding of popular platforms like OpenAI and Azure OpenAI. Being able to discuss these tools and their applications will show your enthusiasm and readiness for the role.
