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- Tasks: Develop and deploy AI models, focusing on Generative AI and Large Language Models.
- Company: Join McGregor Boyall, a leading financial institution driving AI innovation.
- Benefits: Enjoy a hybrid work model and competitive pay based on skills and experience.
- Why this job: Be at the forefront of AI in finance, tackling complex business challenges.
- Qualifications: Master's/PhD in relevant fields with 5+ years of ML experience required.
- Other info: Equal opportunity employer committed to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team, working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics.
The Role
This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs. You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments.
Responsibilities of a GenAI Specialist:
- Develop and deploy AI models, focusing on GenAI and LLMs.
- Extract, clean, and analyse structured and unstructured data.
- Implement scalable ML/DL solutions through the full model lifecycle.
- Collaborate with cross-functional teams to drive AI innovation.
- Present analytical findings to business and technology stakeholders.
Requirements for a GenAI Specialist:
- Master's/PhD in Computer Science, Data Science, Mathematics, or related field.
- 5+ years of experience in ML modeling, ranking, or recommendation systems.
- Proficiency in Python, SQL, Spark, PySpark, TensorFlow.
- Strong knowledge of LLM algorithms and training techniques.
- Experience deploying models in production environments.
Nice to Have:
- Experience in GenAI/LLMs.
- Familiarity with distributed computing tools (Hadoop, Hive, Spark).
- Background in banking, risk management, or capital markets.
Why Join?
This is a unique opportunity to work at the forefront of AI innovation in financial services. If you're ready to apply cutting-edge ML & GenAI techniques to complex business challenges, we'd love to hear from you!
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
GenAI Specialist employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Specialist
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Large Language Models. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and financial sectors. Attend relevant meetups or webinars, and connect with people on LinkedIn who work at McGregor Boyall or similar companies to gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your technical skills through practical examples. Be ready to discuss specific projects where you've implemented ML/DL solutions, especially those involving data extraction and model deployment.
✨Tip Number 4
Understand the financial services landscape, particularly in credit risk management. Being able to articulate how your expertise in AI can solve specific challenges in this area will set you apart from other candidates.
We think you need these skills to ace GenAI Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly with Generative AI and Large Language Models. Emphasise relevant projects and skills such as Python, SQL, and model deployment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the financial sector. Mention specific experiences that align with the responsibilities listed in the job description.
Highlight Relevant Experience: In your application, focus on your 5+ years of experience in ML modelling and any familiarity with distributed computing tools. Use concrete examples to demonstrate your expertise.
Showcase Collaboration Skills: Since the role involves working with cross-functional teams, include examples of past collaborations in your application. Highlight how you effectively communicated analytical findings to stakeholders.
How to prepare for a job interview at McGregor Boyall
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any relevant ML/DL frameworks during the interview. Be prepared to discuss specific projects where you've implemented these technologies, especially in relation to Generative AI and LLMs.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled complex data challenges in the past. Use examples that showcase your ability to clean, manipulate, and analyse both structured and unstructured data, as this is crucial for the role.
✨Understand the Financial Context
Familiarise yourself with the basics of credit risk management and financial data analytics. Being able to relate your technical skills to the financial sector will show your potential employer that you understand their business needs.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you present analytical findings to stakeholders.
