Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, collaborative environment, and opportunities for professional growth.
- Other info: Work with passionate experts in a fast-paced, research-driven setting.
- Why this job: Make a real impact on AI technology that shapes the future of communication.
- 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.
Data Marketing Scientist in Manchester employer: ConnexAI
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing 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 gives potential employers a taste of what you can do and sets 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, 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! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Marketing Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Marketing Scientist role. Highlight your quantitative background and any relevant projects you've worked on, especially those involving LLMs or conversational AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about conversational AI and how your unique skills can contribute to our team. Be specific about your experiences and how they relate to the challenges we face in this role.
Showcase Your Technical Skills: Don’t forget to mention your Python skills and experience with tools like pandas and NumPy. If you’ve worked on data science or machine learning projects, make sure to include those details to demonstrate your hands-on experience.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at ConnexAI
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets and evaluation methods relevant to conversational AI. Brush up on your knowledge of how different prompts and models can impact outcomes, as this will show your understanding of the role's complexities.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex modelling or evaluation problems. Think about edge cases you've encountered and how you creatively resolved them, as this will highlight your critical thinking abilities.
✨Stay Current with Research
Familiarise yourself with the latest advancements in LLMs and conversational AI. Be ready to discuss recent papers or breakthroughs and how they could apply to the work being done at the company. This shows your genuine interest and proactive approach.
✨Demonstrate Collaboration Experience
Since the role involves working closely with engineers and researchers, be prepared to share experiences where you’ve successfully collaborated in a team. Highlight how you’ve turned product problems into measurable AI challenges, showcasing your teamwork and communication skills.