At a Glance
- Tasks: Dive into hardcore 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: Enjoy a competitive salary of £76k and a collaborative team environment.
- Other info: Hybrid role with a focus on engineering-grade data science; no visa sponsorship available.
- Why this job: Make a tangible impact with your data skills in a dynamic financial services setting.
- Qualifications: 5+ years of hands-on data science experience and strong data modelling skills.
The predicted salary is between 45600 - 84000 £ per year.
Lithe Transformation is 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
- You will work as part of a mature and established data insights team, contributing directly to high‐impact analytical initiatives.
- The core focus includes:
- 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 Ltd
As a leading manufacturer in advanced polymer-based processes, this company stands out as an excellent employer in Stone, UK, offering a supportive and collaborative work environment. Employees benefit from a strong culture of innovation and quality, with ample opportunities for personal and professional growth, making it a rewarding place to build a career as a 7.5t driver.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current employees at Lithe Transformation on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data modelling projects, dashboards, and any scenario-based outputs you've created. This hands-on evidence will speak volumes about your capabilities.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge, especially around LLMs and transformer models. Be ready to discuss your past experiences in detail and how they relate to the role at Lithe Transformation.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Lithe Transformation.
We think you need these skills to ace Senior Data Scientist in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your hands-on experience with data modelling and large-scale data processing, as well as any work you've done with LLMs or transformer models. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about hardcore data science and how your experience aligns with our needs. Keep it concise but impactful – we love a good story that showcases your journey in data science.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building dashboards or delivering scenario-based modelling outputs, we want to see examples of your work. This helps us understand your hands-on capabilities and problem-solving skills.
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 gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Lithe Consulting Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data modelling techniques and large-scale data processing methods mentioned in the job description. Brush up on your experience with LLMs and transformer architectures, as you'll likely be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Hands-On Experience
Prepare to share concrete examples of your hands-on work in data science. Think about scenarios where you’ve built executive dashboards or delivered scenario-based modelling outputs. This is a practical role, so demonstrating your engineering skills will be key.
✨Be Ready for Technical Questions
Expect technical questions that dive deep into your knowledge of data science engineering. Review common algorithms, statistical methods, and tools you’ve used. Practising coding problems or case studies related to data crunching can also give you an edge.
✨Emphasise Team Collaboration
While this role isn’t heavily stakeholder-facing, it’s still important to highlight your ability to work within a team. Share experiences where you collaborated with others to achieve high-impact analytical initiatives, showcasing your adaptability and teamwork skills.
