At a Glance
- Tasks: Build and deploy LLM and speech-to-text applications for diverse client projects.
- Company: Join a global data consultancy focused on innovative AI solutions.
- Benefits: Enjoy remote work, competitive salary, and a collaborative team environment.
- Other info: Ideal for those seeking variety and flexibility in their work.
- Why this job: Make a real impact in AI while working with top-tier clients across various industries.
- Qualifications: Strong Python skills and experience with LLMs and NLP are essential.
The predicted salary is between 48000 - 64000 € per year.
Senior Data Scientist | GenAI & Speech-to-Text Focus
Remote (UK-based) | Up to £80,000 + benefits | Consultancy | ASAP start preferred
We’re exclusively partnered with a global data consultancy to help grow their applied AI team.
Following strong client demand, they’re now hiring a Senior Data Scientist to support the design and delivery of real-world Generative AI solutions – particularly focused on LLMs , speech-to-text , and NLP.
You’ll work alongside other Senior and Lead Data Scientists, contributing to high-impact projects for enterprise clients across industries including finance, tech, energy, and public services.
What You’ll Be Doing
- Building and deploying LLM and speech-to-text applications for client use cases
- Contributing to solution design, from modelling approaches through to evaluation and delivery
- Processing and structuring large-scale text and audio data
- Working cross-functionally with engineering and delivery teams to productionise models
- Communicating findings to technical and non-technical stakeholders
- Supporting junior team members and contributing to a high-performing, collaborative environment
What They’re Looking For
- Strong background in Python and applied machine learning
- Experience with LLMs and NLP , particularly around speech-to-text or customer feedback analysis
- Ability to contribute to client discussions, understand business needs, and translate them into ML solutions
- Familiarity with modern ML frameworks (e.g. HuggingFace, Scikit-learn, PyTorch)
- Comfortable working in a consultancy-style environment with multiple projects
Nice to Have
- Experience with prompt engineering or fine-tuning LLMs
- Cloud platform experience (Azure, GCP preferred)
- Exposure to MLOps practices and deployment workflows
- Previous work in customer analytics, personalisation, or sentiment analysis
You’ll report to a Lead or the VP of Data Science depending on the project, and join a collaborative, forward-thinking team where GenAI is a strategic priority. Variety, flexibility, and impact are baked into the role.
Apply below!
Senior Data Scientist - Speech-To-Text in Edinburgh employer: Harnham
As a Senior Data Scientist at our global data consultancy, you'll thrive in a dynamic and collaborative environment that prioritises innovation in Generative AI and speech-to-text solutions. With a strong emphasis on employee growth, we offer extensive opportunities for professional development, competitive benefits, and the chance to work on high-impact projects across diverse industries. Join us in a remote role that not only values your expertise but also fosters a culture of teamwork and creativity, making it an exceptional place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Speech-To-Text in Edinburgh
✨Tip Number 1
Familiarise yourself with the latest advancements in speech-to-text technology and Generative AI. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the data science community, especially those working in consultancy roles. Engaging in discussions on platforms like LinkedIn or attending relevant meetups can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your experience with Python and machine learning frameworks by discussing specific projects you've worked on. Be ready to explain your approach to problem-solving and how you’ve contributed to successful outcomes in previous roles.
✨Tip Number 4
Understand the consultancy environment and be prepared to discuss how you would handle multiple projects simultaneously. Highlight your organisational skills and ability to communicate effectively with both technical and non-technical stakeholders.
We think you need these skills to ace Senior Data Scientist - Speech-To-Text in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, applied machine learning, and any relevant projects involving LLMs and speech-to-text. Use specific examples that demonstrate your skills in these areas.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience in consultancy environments and your ability to translate business requirements into ML solutions.
Showcase Relevant Projects:If you have worked on projects related to NLP, speech-to-text, or customer feedback analysis, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Soft Skills:Since the role involves working cross-functionally and supporting junior team members, emphasise your communication skills and collaborative experiences. Mention any instances where you've successfully communicated complex technical concepts to non-technical stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, LLMs, and NLP in detail. Highlight specific projects where you've built or deployed speech-to-text applications, as this will demonstrate your hands-on expertise.
✨Understand the Consultancy Environment
Familiarise yourself with the consultancy model and be ready to discuss how you can adapt to working on multiple projects simultaneously. Emphasise your ability to communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in relation to client needs. Think of examples where you've successfully translated business requirements into machine learning solutions.
✨Demonstrate Collaboration Skills
Since you'll be working cross-functionally, share examples of how you've collaborated with engineering and delivery teams in the past. Highlight your experience in mentoring junior team members to show your leadership potential.
