Data Scientist - NLP

M&C Saatchi
London
1 month ago
Create job alert
Overview

M+C Saatchi World Services are looking for a Data Scientist specialising in NLP. In this role, you will design, build, and scale production‑grade language systems that transform how our products understand, retrieve, and generate text. You’ll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities.

This is a full‑time role, based in London on a hybrid basis (2–3 days per week in the office).

About the Role

This is an applied, highly technical role focused on leveraging frontier LLM services (OpenAI, Anthropic, etc.) as well as locally deployed models to solve real business problems. You will architect intelligent systems, implement robust NLP pipelines, and deploy solutions that are reliable, secure, and performant at scale. You’ll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities.

What you\'ll do:

  • Design and build LLM‑powered applications using third‑party APIs (OpenAI, Anthropic, etc.).

  • Develop RAG (retrieval‑augmented generation) systems including document ingestion, chunking strategies, and vector search infrastructure.

  • Implement advanced prompt‑engineering patterns, evaluation frameworks, and output‑reliability mechanisms.

  • Build NLP pipelines for text classification, entity extraction, semantic search, summarisation, and document understanding.

  • Develop agentic workflows and tool‑use systems for complex multi‑step tasks.

  • Optimise for cost, latency, reliability, and model selection across LLM providers and configurations.

  • Collaborate with product and engineering teams to translate business requirements into robust technical solutions.

  • Build monitoring, observability, and evaluation systems for LLM applications in production.

About You

What you bring (knowledge, expertise, experience, and skills):

  • Solid experience in applied NLP or machine learning roles.

  • Strong proficiency in Python and experience building production systems.

  • Hands‑on experience with LLM APIs (OpenAI, Anthropic, or similar).

  • Experience building RAG systems including loaders, text splitting, embedding models, and vector stores.

  • Solid understanding of NLP fundamentals: embeddings, semantic similarity, text classification, and evaluation.

  • Experience with prompt engineering and structured output parsing.

  • Strong software engineering fundamentals: version control, testing, code review, documentation.

  • Experience with cloud infrastructure (AWS preferred).

Desirable:

  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.).

  • Background working with vector databases (Pinecone, Weaviate, pgvector, Chroma).

  • Experience building agentic LLM workflows (tool calling, function calling, multi‑step reasoning).

  • Familiarity with LLM evaluation and observability tools (LangSmith, Weights & Biases, etc.).

  • Experience fine‑tuning API‑based models or working with embedding models.

  • Understanding of cost‑optimisation strategies across providers and model tiers.

What You Get

A competitive salary and benefits package that includes 27 days holiday per year, pension contributions, private healthcare, discounted dental insurance, enhanced maternity/parental leave, plus a whole host of others including:

  • Cultural stimulation allowance - £250 per person per year

  • Half days off before bank holidays

  • Emergency care days for dependants

  • Up to 5 days volunteering leave per year to work for a registered charity

  • Up to 10 days special emergency leave per year

  • Season Ticket loan

  • Payroll Giving Scheme

  • Thursday drinks to unwind and socialize

  • An annual Summer and Christmas party

  • Our commitment to Diversity and Inclusion sees us offer inclusive bank holidays

We also offer learning opportunities around D&I, targeted mentoring programmes and the opportunity to participate in several active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success.

About M+C Saatchi World Services

M+C Saatchi World Services is a specialist division of M+C Saatchi Group, the world’s largest independent communications network. Our specialists work in office hubs across six continents, grounding our global expertise in local nuance.

We offer award-winning commercial communications capabilities, which are utilized by global organizations to address the world’s most complex problems across defence, development, diplomacy, homeland and national security, law and order, health, education, and the environment.

We work with clients that want to help the hardest-to-reach, hardest-to-influence audiences. This includes a range of Western Government departments, such as DOS and USAID; partner governments, including the U.K. and Australia; and prominent IGOs/NGOs such as the U.N.

We are a comms agency that works on behaviour change projects typically focused on issues related to Security, Defence and Stabilization. Whether it’s producing critically acclaimed feature films in Africa, to TV shows in the Middle East, to pop music videos in Asia, we have a record of leveraging creativity to access communities anywhere in the world.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.