At a Glance
- Tasks: Join a dynamic team to build innovative GenAI solutions for diverse clients.
- Company: Ascent, a digital transformation leader with a vibrant and inclusive culture.
- Benefits: Flexible work options, professional development support, and well-being resources.
- Why this job: Make a real impact in the exciting field of Generative AI and data science.
- Qualifications: 1+ years in LLM/GenAI, strong Python skills, and a consultative mindset.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Senior Data Scientist with a GenAI Focus
Be among the first 25 applicants.
Data Science function hiring in: United Kingdom | Portugal | Malta | Bulgaria | Remote. Engagement Option(s): Full Time. Work Preference Option(s): Hybrid model | Work from Office | Work from Home. Ref â„–: 25052.
Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data.
Please note that this position is open as either a permanent or a contractor agreement.
About Us
We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.
We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.
We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics.
At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team.
About The Role
Join our rapidly growing Data Practice as we build cutting‑edge Generative AI solutions for clients across industries. In this role, you’ll work hands‑on with multi‑disciplinary teams to design, prototype, and deliver AI solutions that tackle real business challenges. You’ll collaborate closely with clients, taking them on the journey from early adoption to full‑scale deployment, blending technical expertise with a strong consultative approach.
We’re looking for someone with deep experience in NLP and Generative AI (including RAG), who can combine critical thinking, creativity, and technical skill to solve complex problems. You’ll act as a trusted advisor, translating technical possibilities into business impact while ensuring strong client relationships built on credibility and empathy.
Skills And Experience Required
- Proven experience in LLM / Generative AI and RAG projects, ideally in a leadership or senior delivery role.
- 4+ years in a data science or related role, with hands‑on NLP experience.
- Fluent in Python, capable of rapidly prototyping solutions and delivering production‑ready code.
- Familiarity with Azure data services and cloud‑based AI infrastructure.
- Knowledge of best practices in model tuning, drift monitoring, and optimization.
- Strong consulting and stakeholder management skills; able to break down complex business problems and propose clear technical solutions.
What You Will Do
- Collaborate with clients to understand business needs and identify where Generative AI can add value.
- Lead prompt engineering and chain‑of‑thought reasoning to build LLM‑based solutions.
- Implement Resource‑Augmented Generation (RAG) solutions, optimizing chunking, metadata, and retrieval processes.
- Ensure all solutions follow Responsible AI principles.
- Rapidly develop demos to showcase the potential of Generative AI.
- Contribute to the development of Ascent’s GenAI methodology, frameworks, and accelerators.
- Be an active member of Ascent’s Data Science and Generative AI communities, helping to evolve our capabilities and share knowledge across the organization.
Working at Ascent
We promote a healthy work‑life balance by offering flexibility in where you work. We also promote well‑being and provide access to Well Being Coaches.
Your development and learning will be taken seriously, and we’ll support your professional development with training and certification, regular feedback and review. It is a fun, supportive, and modern workplace where we live by our company values of Empathy, Energy, and Audacity! Ascent also offers a variety of benefits in each of our countries.
Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.
If you have any questions contact our Talent Acquisition team on ta.admin@ascent.io.
For more details about life at Ascent, check out our Life Page.
Ascent is now an Acuity Knowledge Partner Company. Read here.
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Senior Data Scientist with a GenAI focus employer: Ascent
Contact Detail:
Ascent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist with a GenAI focus
✨Tip Number 1
Network like a pro! Reach out to current employees at Ascent on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. A friendly chat can sometimes lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your GenAI knowledge. Be ready to discuss specific projects you've worked on, especially those involving NLP and LLMs. Show us how you can bring value to our team with real examples!
✨Tip Number 3
Don’t just focus on technical skills; showcase your consultative approach too. We love candidates who can empathise with clients and break down complex problems into manageable solutions. Let your personality shine through!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our awesome team at Ascent.
We think you need these skills to ace Senior Data Scientist with a GenAI focus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your GenAI and NLP expertise, and don’t forget to showcase any relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background makes you a perfect fit for our team. Be genuine and let your personality come through.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business challenges using data science. We love seeing how you think critically and apply your knowledge to real-world problems!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Ascent
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI and its applications. Be ready to discuss your experience with LLMs and RAG projects, as well as how you've tackled business challenges using these technologies. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex data problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your critical thinking and consultative approach, which are key for this role.
✨Engage with Empathy
Since the role involves significant customer interaction, practice speaking with empathy and credibility. Think about how you can relate to clients' needs and concerns, and be prepared to discuss how you've built strong relationships in previous roles. This will highlight your ability to connect with clients effectively.
✨Familiarise Yourself with Azure Data Services
As the job mentions experience with Azure data services, make sure you're up to speed on these tools. If you have any hands-on experience, be ready to discuss it. If not, do some research and be prepared to talk about how you would leverage these services in your work at Ascent.