At a Glance
- Tasks: Dive into hands-on data science, building models and dashboards that drive real business decisions.
- Company: Join Lithe Transformation, a forward-thinking company in the AI and LLM space.
- Benefits: Competitive salary of £76k and a collaborative team environment.
- Other info: Hybrid role near Sheffield with excellent career growth opportunities.
- Why this job: Make an impact with advanced data modelling and cutting-edge technologies.
- Qualifications: 5+ years in data science, strong modelling skills, and experience with LLMs.
The predicted salary is between 76000 - 76000 € per year.
Lithe Transformation are looking to hire a Senior Data Scientist to support our growing AI and LLM practice in the north of England. Based within daily striking distance of our client's Sheffield offices, this hybrid role requires an onsite presence the majority of the time.
This is not a strategy-heavy or stakeholder management position. It is a hands-on, engineering-led data science role focused on deep modelling, heavy data processing, scenario modelling and building executive-level dashboards that drive real business decisions.
The Role
- Advanced data modelling and statistical analysis
- Heavy data crunching and scenario modelling
- Building robust executive dashboards and decision frameworks
- Working hands-on with transformer architectures and LLM layers
- Engineering-grade data science delivery within a financial services setting
This is “hardcore” data science engineering — suited to someone who enjoys building, modelling and solving complex quantitative problems rather than operating primarily in stakeholder or governance layers.
Experience Required
- 5+ years of hands-on data science experience (5–10+ ideal)
- Strong background in data modelling and large-scale data processing
- Practical experience working with LLMs, transformer models or adjacent architectures
- Proven ability to deliver scenario-based modelling outputs
- Experience building dashboards and executive-ready analytical outputs
- Financial services experience is advantageous but not mandatory
Soft skills are important but this is not a heavily stakeholder-facing role. The team environment is already established and collaborative.
We are offering a basic salary of £76k. PLEASE NOTE THAT WE ARE NOT ABLE TO OFFER VISA SPONSORSHIP OF ANY KIND FOR THIS ROLE, EITHER NOW OR IN THE FUTURE. ALL APPLICANTS MUST HAVE CURRENT AUTHORISATION TO WORK PERMANENTLY IN THE UK, UNRESTRICTED.
Senior Data Scientist in Sheffield employer: Lithe Consulting
Lithe Transformation is an exceptional employer for Senior Data Scientists, offering a dynamic work environment in the north of England, close to Sheffield. With a strong focus on hands-on data engineering and a collaborative team culture, employees benefit from opportunities for professional growth while working on impactful projects that drive real business decisions. The hybrid role allows for flexibility, ensuring a balanced work-life integration while being part of a mature data insights team dedicated to innovation in AI and LLM practices.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Sheffield
✨Tip Number 1
Get your hands dirty! Since this role is all about hardcore data science, make sure you showcase your practical experience with LLMs and transformer models. Bring examples of your work to the table during interviews to demonstrate your skills.
✨Tip Number 2
Network like a pro! Connect with professionals in the data science field, especially those working in financial services. Attend meetups or webinars to get insights and maybe even a referral that could land you an interview.
✨Tip Number 3
Prepare for technical challenges! Brush up on your data modelling and scenario-based problem-solving skills. Be ready to tackle real-world problems during interviews, as they might test your ability to think on your feet.
✨Tip Number 4
Apply through our website! We want to see your application directly, so don’t hesitate to submit your CV and cover letter via StudySmarter. It’s the best way to ensure we notice your enthusiasm and fit for the role.
We think you need these skills to ace Senior Data Scientist in Sheffield
Some tips for your application 🫡
Show Your Hands-On Experience:Make sure to highlight your hands-on data science experience in your application. We want to see how you've tackled complex quantitative problems and what tools you've used to build robust models and dashboards.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match our job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Lithe Consulting
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and processing skills. Be prepared to discuss specific projects where you've tackled complex quantitative problems, especially those involving LLMs or transformer models. This will show that you can hit the ground running in this hands-on role.
✨Showcase Your Dashboard Skills
Since building executive-level dashboards is a key part of the job, come ready to talk about your experience with dashboard creation. Bring examples of your work, if possible, and be ready to explain how your dashboards have driven business decisions in the past.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your data science knowledge. Brush up on advanced statistical analysis and scenario modelling techniques. Being able to articulate your thought process and problem-solving approach will impress the interviewers.
✨Emphasise Team Collaboration
Even though this role isn't heavily stakeholder-facing, it's still important to highlight your ability to work within a team. Share examples of how you've collaborated with others in previous roles, particularly in a data insights context, to demonstrate that you're a good fit for their established team environment.
