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For Companies At a Glance
- Tasks: Lead data analysis projects and develop predictive models to drive business decisions.
- Company: Join a cutting-edge tech firm known for innovation and a collaborative culture.
- Benefits: Enjoy flexible working hours, remote work options, and generous leave policies.
- Why this job: Make a real impact with your data skills while working in a dynamic and supportive environment.
- Qualifications: Must have a degree in Data Science or related field and experience with machine learning.
- Other info: Opportunity for professional growth and access to the latest tools and technologies.
The predicted salary is between 43200 - 72000 £ per year.
🚀 Agentic AI Consultant – Remote (UK) | Global Travel Available 🚀
Level: Associate – Director
Location: Remote-first (UK-based) with London hub + global travel opportunities
Compensation: £80k – £130k + bonus + benefits
We are seeking experienced Agentic AI Consultants to design, build, and scale autonomous multi-agent systems that move beyond PoCs and into real-world production. This is not “just another chatbot role.” You’ll architect frameworks, deploy systems at scale, and guide clients through the complexities of next-generation AI adoption.
The ideal candidate will unite software engineering depth with data science expertise – capable of hands-on system development while also engaging clients in workshops and strategic roadmaps.
What You’ll Do
- Architect multi-agent frameworks (e.g. ReAct, CoT loops, LangGraph) and orchestrate tool-rich workflows.
- Productionise AI solutions: move beyond PoC into systems serving 100s–1000s of users with robust monitoring and orchestration.
- Deploy and scale agentic AI across diverse environments (SQL, pandas, RAG, MCP).
- Evaluate systems rigorously: Pass@N, multi-run testing, retriever validation, and component-level analysis.
- Educate & consult: Run ideation sessions, maturity assessments, and roadmap planning for enterprise/government clients.
- Collaborate cross-functionally with AI engineers, architects, and product teams to deliver market-ready solutions.
- Stay ahead of the curve by exploring LLM advancements, orchestration tools, and evaluation methodologies.
What We’re Looking For
Required:
- 3+ years in AI, Data Science, or advanced technical consulting.
- Proven track record of building and deploying LLM/agentic systems into production.
- Strong software engineering foundations (deployment, memory orchestration, monitoring).
- Familiarity with agentic architectures (LangGraph, ReAct, CoT loops).
- Experience delivering AI at scale – beyond PoC, into live environments.
- Ability to engage clients with clear communication and advisory skills.
Preferred:
- Master’s/PhD in AI, Computer Science, or related discipline.
- Knowledge of TensorFlow, PyTorch, vector databases, retrieval-augmented generation (RAG).
- Background in start-ups (T-shaped generalists) or consultancies (client-facing exposure).
- Experience in regulated industries or public sector projects.
- Self-starter mindset — independent, solutions-driven, and comfortable without hand-holding.
Why Join?
- Impact at scale: Deliver production-ready systems for Fortune 100s and government bodies.
- Cutting-edge team: Work alongside industry leaders, academics, and innovators.
- Global flexibility: Remote-first, with travel and relocation options worldwide.
- Growth & research: Influence academic research while shaping enterprise AI adoption.
- Culture: A fast-moving, entrepreneurial team environment with the backing of a global consulting leader.
Keywords (SEO-optimised)
Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers UK, AI Jobs Remote.
Senior Data Scientist employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest data science tools and technologies that are relevant to our work at StudySmarter. Being well-versed in programming languages like Python or R, as well as machine learning frameworks, will give you an edge.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of past projects where you've successfully applied data analysis to drive business decisions. We love seeing how candidates can translate data into actionable insights.
✨Tip Number 3
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about our company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare for technical interviews by brushing up on your statistical knowledge and data manipulation techniques. Practising coding challenges related to data science can help you feel more confident and ready to impress us.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Senior Data Scientist. Familiarise yourself with the skills needed, such as statistical analysis, machine learning, and data visualisation.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the Senior Data Scientist position. Use specific examples of projects you've worked on, tools you've used, and the impact of your work.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your qualifications but also demonstrates your passion for data science. Mention why you want to work for the company and how you can contribute to their goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that your documents are well-formatted and professional.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in data analysis, machine learning, and statistical modelling. Be prepared to discuss specific projects where you've applied these skills, and consider bringing along a portfolio of your work to showcase your capabilities.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as interviewers will be interested in how you approach complex data challenges and derive insights from data.
✨Understand the Company’s Data Strategy
Research the company’s current data initiatives and challenges. Being knowledgeable about their data strategy will not only help you tailor your answers but also show your genuine interest in the role and how you can contribute to their goals.
✨Communicate Effectively
Data Scientists often need to present findings to non-technical stakeholders. Practice explaining complex concepts in simple terms, and be ready to discuss how you've successfully communicated data-driven insights in previous roles.
