At a Glance
- Tasks: Dive into data, develop cutting-edge models, and solve unique challenges in NLP and LLMs.
- Company: Join a leading conversational AI company focused on delivering real-world value through innovative solutions.
- Benefits: Enjoy a hybrid work model, collaborative environment, and opportunities for continuous learning and growth.
- Why this job: Be part of a dynamic team that values creativity, innovation, and excellence in data science.
- Qualifications: 1+ years in Data Science, proficiency in Python, and a passion for pushing model performance.
- Other info: Curiosity and a willingness to learn are key—NLP experience is a plus but not required.
The predicted salary is between 28800 - 48000 £ per year.
Data Scientist (LLM & NLP Focus) Location: Manchester (Hybrid – 3 days in the office) Experience Level: Minimum 1 year of experience in Data Science Are you fascinated by uncovering patterns in data? Do you hold data quality to the highest standard and chase ever-higher model performance with tenacity and precision? If so, we want you on our team. While a background in NLP and LLMs is highly valued, we are also eager to connect with Data Scientists from diverse fields who are passionate about tackling new challenges and have a mindset focused on developing the best possible models. We’re looking for a Data Scientist with a passion for curiosity-driven exploration and a dedication to excellence in developing and refining models. This role focuses on solving novel problems in a fast-paced environment, specifically emphasising Large Language Models (LLMs) and Natural Language Processing (NLP). As part of the role, you’ll contribute to creating and curating high-quality training and test datasets for LLMs alongside broader data science responsibilities. We specialise in conversational AI and are a production-focused company, ensuring our models deliver real-world value to clients and their customers. Staying current is key—we actively read and write papers and engage with the latest research to keep ahead of the curve. What You’ll Do: Collaborate on designing, developing, and deploying advanced data science models, focusing on NLP and LLM-based systems. Contribute to creating, curating, and maintaining high-quality training and test data to support LLM development. Ensure data integrity and prepare datasets that meet rigorous standards for analysis and modelling. Relentlessly pursue improvements in model performance, identifying actionable areas for enhancement and implementing innovative solutions. Propose and implement enhancements to models and data workflows, driving continuous optimisation. Stay current with state-of-the-art research by reading and writing papers, and applying cutting-edge techniques to real-world challenges. Solve unique and challenging problems using innovative tools and approaches. Share and discuss ideas in a supportive environment where creativity and innovation are encouraged and valued. What We’re Looking For: At least 1 year in a Data Science role, with practical experience applying machine learning techniques. Proficiency in Python, with experience using libraries like pandas, NumPy, scikit-learn, and PyTorch. A relentless drive to push model performance boundaries, a focus on client needs, and a dedication to delivering impactful results. Familiarity with NLP concepts, transformer models, or LLMs (but not required—curiosity and a willingness to learn are more important). Interested? Apply now for the opportunity to explore the role further with a brief 15-minute call with our in-house talent team
Data Scientist employer: ConnexAI
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest advancements in NLP and LLMs. Engage with recent research papers and online courses to deepen your understanding, as this will not only enhance your knowledge but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your problem-solving skills by discussing specific projects where you've tackled unique challenges. Be prepared to explain your thought process and the innovative tools you used, as this will highlight your ability to think critically and creatively.
✨Tip Number 3
Network with professionals in the data science community, especially those focused on NLP and LLMs. Attend meetups, webinars, or conferences to connect with like-minded individuals and gain insights that could be beneficial during your application process.
✨Tip Number 4
Prepare to discuss how you ensure data integrity and quality in your work. Being able to articulate your approach to maintaining high standards in datasets will resonate well with our focus on delivering impactful results.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, especially any work related to NLP and LLMs. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your curiosity-driven approach. Mention any specific projects or experiences that relate to the job description, particularly those involving model performance and data integrity.
Showcase Your Technical Skills: In your application, emphasize your proficiency in Python and relevant libraries like pandas, NumPy, scikit-learn, and PyTorch. If you have experience with NLP concepts or transformer models, be sure to include that as well.
Express Your Willingness to Learn: Highlight your eagerness to stay current with research and your commitment to continuous improvement. Mention any recent papers you've read or techniques you've learned that are relevant to the role.
How to prepare for a job interview at ConnexAI
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science and your curiosity-driven approach. Share specific examples of how you've tackled challenges in the past, especially those related to model performance and data integrity.
✨Highlight Relevant Experience
Discuss your experience with machine learning techniques and any projects you've worked on that involved NLP or LLMs. Even if your background isn't strictly in these areas, emphasize your willingness to learn and adapt.
✨Demonstrate Technical Proficiency
Be prepared to talk about your proficiency in Python and the libraries mentioned in the job description, such as pandas, NumPy, scikit-learn, and PyTorch. Consider discussing a project where you utilized these tools effectively.
✨Stay Current with Research
Show that you are engaged with the latest developments in data science by mentioning any recent papers you've read or research you've followed. This demonstrates your commitment to continuous learning and staying ahead in the field.