AI Applied Researcher

Accenture UK & Ireland; Dublin; Ibrido; EUR 90.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Pension

Private health insurance

Discounted gym membership

Emergency caring facilities

Volunteer leave (2 days)

Descrizione del lavoro

Accenture Ireland is seeking an Applied Scientist to join the Labs’ AI R&D Team, working on core AI models that span domains. You will translate state-of-the-art techniques into practical, scalable solutions across real datasets, products, and client environments.

This role blends deep research with hands-on development, owning problem formulation, experimentation, validation, deployment, and measurable outcomes, in collaboration with researchers, engineers, and product stakeholders.

Competenze

• Master’s degree or PhD in Computer Science / AI with 1–2 years industry exp.
• Strong ML foundation including supervised learning, embeddings, evaluation metrics.
• Excellent analytical and critical thinking skills.
• Clear written and verbal communication for presentations.
• Experience designing controlled experiments and interpreting results with metrics.
• Ability to collaborate with researchers, engineers and product stakeholders.
• Proficiency in Python with PyTorch or TensorFlow.

Mansioni

• Synthesize the latest research in AI and NLP for practical use.
• Adapt foundation models to domains using fine-tuning, continued pre-training, distillation, or LoRA.
• Design and build agentic LLM systems that integrate external tools and data sources.
• Collaborate with Senior Researchers to rapidly prototype and test concepts.
• Disseminate research findings through papers and presentations for academic and business audiences.
• Craft compelling narratives and demonstrations translating research to business value.

Conoscenze

Python programming

PyTorch

TensorFlow

LLM/SLM development

Research analysis

Formazione

Master’s degree in Computer Science / AI

PhD in Computer Science / AI

Strumenti

APIs

Databases

Knowledge graphs

Rule engines

Descrizione del lavoro

Job Description

Join the Accenture Labs’ AI R&D Team and work on core AI Models / technology that work across multiple domains.

The Opportunity

As an Applied Scientist, you will sit at the intersection of advanced AI research and real-world business impact. You will translate state-of-the-art machine learning and AI techniques into practical, scalable solutions that solve complex problems across real datasets, products, and client environments. This role is ideal for someone who enjoys moving beyond pure research to own the end-to-end lifecycle of AI solutions—from problem formulation and experimentation to validation, deployment, and measurable outcomes.

Key Responsibilities & Impact

This role offers a unique mix of deep research and hands‑on development:

• Research Synthesis: Review, analyze, and strategically summarize the latest academic and industry research in technical domains (e.g., LLM domain adaptation, knowledge integration, reasoning techniques).


• Adapt foundation and compact language models to specialized domains using techniques such as fine-tuning, continued pre-training, distillation, and parameter-efficient methods (e.g. LoRA).


• Design and implement agentic LLM systems that integrate external tools (APIs, databases, services, rule engines) to perform precision and verifiable tasks.


• Hands‑on Prototype Development: Collaborate directly with Senior Research Scientists to rapidly design, build, and test Proof‑of‑Concepts.


• Research Dissemination: Articulate complex research findings into clear, persuasive, and publishable papers and presentations for both academic and business audiences.


• Strategic Storytelling: Craft engaging narratives and technical demonstrations that translate research outcomes into clear, compelling value propositions.

Job Qualifications

• Master’s plus 2-3 years industry experience or PhD in Computer Science / AI (Area of Study: AI / ML / NLP) with 1-2 years industry experience.


• Strong foundation in machine learning, including supervised learning, embeddings, evaluation metrics, and data preprocessing.


• Strong analytical and critical thinking skills.


• Good written and verbal communication abilities, with the capacity to structure presentations for maximum clarity and impact.


• Experimental design expertise, including the ability to design controlled experiments, define meaningful baselines, and interpret results using appropriate quantitative metrics.


• Ability to collaborate effectively with researchers, engineers, and product stakeholders in cross‑functional environments.


• Ability to track, evaluate, and apply relevant research literature.


• Strong programming skills in Python, including experience with libraries such as PyTorch (preferred), TensorFlow.

Primary Skills

• Ability to implement custom models (neural networks, transformers), layers, or loss functions.


• Small Language Models (SLMs): hands‑on experience building, adapting, and evaluating compact language models; understanding of domain adaptation techniques, efficiency trade‑offs, and deployment constraints.


• Agentic LLMs & Tool Use: experience integrating LLMs with external tools and systems to execute structured, multi‑step tasks with high precision.


• Experience integrating external knowledge sources into LLM/SLM systems, such as databases, document collections, knowledge graphs, or rule‑based systems.


• Demonstrated ability to combine model reasoning, external knowledge, and tools into reliable end‑to‑end systems.

Bonus Skills (Not Required But Valuable)

• Prior experience in an AI research lab, applied research group, or advanced R&D environment.


• Publications, preprints, or open‑source contributions.


• Exposure to responsible AI, model risk, or safety‑related evaluations.


• Domain expertise in a complex or regulated field (healthcare or finance).

What’s in it for you:

At Accenture Ireland, in addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounted gym membership, emergency caring facilities, and 2 days’ leave per year for charitable work of your choice! Flexible working arrangements can be discussed depending on the position.