At a Glance
- Tasks: Extract insights from complex data sets and collaborate on AI-driven projects.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for continuous learning.
- Other info: Dynamic workplace with a focus on growth and cutting-edge technology.
- Why this job: Be part of a team that shapes the future of AI and data science.
- Qualifications: Experience in Python, machine learning, and cloud platforms like AWS or Azure.
The predicted salary is between 63000 - 77000 £ per year.
The ideal candidate's favorite words are learning, data, scale, and agility.
You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Required Skills and Qualifications Strong commercial experience in Python development for data science and machine learning applications.
Proven experience working with Generative AI models , including Large Language Models (LLMs) and AI-powered solutions.
Knowledge and hands-on experience with cloud platforms, preferably AWS and/or Microsoft Azure .
At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C, C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Desirable Skills
Data Scientist - AI employer: HCLTech
HCLTech is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow their skills in cutting-edge technologies. With a global presence and a commitment to employee development, HCLTech offers numerous opportunities for career advancement, particularly in the exciting field of AI and frontend development. Joining our team means being part of a collaborative environment that values creativity and encourages meaningful contributions to impactful projects.
