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- Tasks: Design and evaluate cutting-edge conversational AI systems using large language models.
- Company: Join a dynamic team at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work with passionate experts and tackle challenging AI problems.
- Why this job: Make a real impact on the future of conversational AI in a collaborative environment.
- Qualifications: Degree in a quantitative field and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are building production conversational AI systems powered by large language models, speech AI, and real-time AI workflows.
We’re hiring two Data Scientists to join our LLM team, helping design, improve, and evaluate the systems that power our Conversational AI products in production. The focus is on defining, interrogating and solving complex modelling and evaluation problems, and building the data and experimentation foundations that will generate systematic advances in conversational AI.
You’ll work closely with researchers, engineers, and evaluation teams across areas such as LLM behaviour and reasoning, prompt optimisation, conversational quality, and model evaluation.
We’re particularly interested in people from strong quantitative backgrounds including Mathematics, Physics, Statistics, Computer Science, or related fields, who enjoy piecing together difficult problems, thinking rigorously, and working in environments driven by research and experimentation.
What you’ll do:
- Design and use datasets, experiments and evaluation methods to gain detailed and intimate knowledge of our conversational AI solutions.
- Identify opportunities to improve quality, reliability, and performance through research and experimentation.
- Statistically investigate how changes to prompts, pipelines, models, or system logic impact real-world outcomes.
- Think creatively about edge cases that might expose flaws in a system, and devise and test different ideas about how to handle those cases without harming global performance.
- Develop tests and metrics that capture the many nuances of user requirements, rather than uncritically relying on industry-standard proxies that might obscure underlying issues.
- Advance the building blocks behind LLM-powered systems, including classification, ranking, retrieval, scoring, and conversational workflows.
- Collaborate with engineering and evaluation teams to turn product problems into measurable AI problems.
- Stay up to date with the latest research and critically apply new ideas to production AI systems, separating out strong, flexible approaches from fragile hype.
What we’re looking for:
- Degree, MSc, or PhD in Mathematics, Physics, Statistics, Computer Science, or a similarly quantitative field.
- Strong Python skills with experience using tools such as pandas, NumPy, and scikit-learn.
- Experience working with data science, experimentation, statistical analysis, or machine learning systems.
- Curiosity around the finer details of LLMs, NLP, or conversational AI.
- Ability to think critically about model behaviour and system performance rather than simply training models.
- Sceptical mindset: you are uncomfortable with taking any assumption as given, and you examine new ideas with an open but critical mind.
- Comfortable working in fast-moving, collaborative environments with ambiguous problems.
Why join us:
- Work on real-world conversational AI systems used in production.
- Solve difficult applied AI problems in a highly collaborative environment.
- Join a research-driven team working across LLMs, speech AI, and evaluation.
- Influence how AI systems are measured, improved, and deployed at scale.
Marketing Data Scientist in Manchester employer: ConnexAI
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and conversational AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely, as you'll need to demonstrate your understanding of data science and AI principles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets into the right hands.
We think you need these skills to ace Marketing Data Scientist in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong quantitative background and Python skills in your application. We want to see how your experience with tools like pandas and NumPy can contribute to our LLM team!
Be Curious: Let your curiosity shine through! Talk about your interest in LLMs, NLP, and conversational AI. We love candidates who are eager to dive into the finer details and think critically about model behaviour.
Tailor Your Application: Don’t just send a generic application. Tailor your CV and cover letter to reflect how your experiences align with the specific challenges we face in conversational AI. Show us you understand the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity on our LLM team!
How to prepare for a job interview at ConnexAI
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets and evaluation methods relevant to conversational AI. Be prepared to discuss how you would design experiments or improve existing models. Showing that you can think critically about data will impress the interviewers.
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python and familiar with libraries like pandas, NumPy, and scikit-learn. You might be asked to solve a coding problem or discuss your previous projects, so having examples ready will help you stand out.
✨Stay Current with AI Research
Keep up with the latest trends and breakthroughs in LLMs and conversational AI. Being able to reference recent studies or innovations during your interview shows that you're genuinely interested and engaged in the field.
✨Prepare for Problem-Solving Questions
Expect to tackle complex modelling and evaluation problems during the interview. Practice thinking through edge cases and how you would approach them. This will demonstrate your ability to handle ambiguity and think creatively under pressure.