At a Glance
- Tasks: Design and deliver GenAI solutions, moving prototypes into production with strong governance.
- Company: Infosys Consulting, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technologies.
- Qualifications: Experience in applied ML and GenAI delivery in production environments.
The predicted salary is between 63000 - 77000 £ per year.
Infosys Consulting is seeking Data Scientists to design and deliver GenAI solutions (LLM/RAG) and applied ML components, moving prototypes into production with strong observability and governance. You will collaborate with data engineers, analysts, and stakeholders to translate data into actionable business strategies.
The ideal candidate will have strong experience in applied ML, GenAI delivery, evaluation, deployment, and governance in production environments, across cloud platforms.
GenAI & ML Data Scientist - Production-Ready LLM/RAG employer: Infosys Consulting - Europe
Infosys Consulting - Europe is an exceptional employer that values its employees by fostering a high-performance, inclusive culture where teamwork and collaboration thrive. Located in the UK, the firm offers comprehensive benefits, opportunities for professional growth, and a dynamic work environment that encourages innovation and excellence. As an Executive Assistant to Partners, you will play a vital role in supporting leadership while enjoying a workplace that prioritises employee well-being and development.
Contact Details:
Infosys Consulting - Europe Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land GenAI & ML Data Scientist - Production-Ready LLM/RAG
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We think you need these skills to ace GenAI & ML Data Scientist - Production-Ready LLM/RAG
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Infosys Consulting - Europe, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infosys Consulting - Europe. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Infosys Consulting - Europe
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Infosys Consulting - Europe!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
