Data Scientist Associate Manager

Freelio; Greater London; Hybrid; GBP 85,000 - 125,000; Full time

Job summary

Accenture is seeking an AI/ML Data Scientist Associate Manager in London to design, build, and operationalize enterprise AI/ML solutions. You will deploy models at scale, create scalable data pipelines, and tailor Gen AI approaches to client needs, working across cloud environments and DevOps practices.

The role emphasizes collaboration with business stakeholders and technical teams to deliver end-to-end AI strategies in production contexts.

Qualifications

• Bachelor’s degree or equivalent in a related field.
• Experience deploying ML models in production at scale.
• Knowledge of distributed systems and cloud computing.
• Strong programming skills in Python; familiarity with C++, Java, or R.

Responsibilities

• Design, build, and operationalize AI/ML solutions for enterprise clients.
• Develop scalable data pipelines for training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for business needs.
• Collaborate with cross-functional teams to deliver production-ready systems.

Skills

Python

ML modeling

LLMs / GenAI

Cloud computing

Distributed systems

Data pipelines

PyTorch / TensorFlow

SQL

Client-facing

Education

Bachelor's degree in CS/Engineering

MS/PhD preferred

Tools

TensorFlow / PyTorch

LLM APIs

AWS / Azure / GCP

Job description

Role title: Data Scientist Associate ManagerLocation: LondonSalary: Competitive salary and package (Depending on level of experience)Please Note: Any offer of employment is subject to satisfactory BPSS and DV security clearance which typically requires 10 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application.Note: The above information relates to a specific client requirementAccenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO.YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.THE WORK• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions • Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps • Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC • Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites • Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools • Justify the value of model approaches in business problems • Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into productionEDUCATION • • Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION • Significant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. • Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming • Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks • Proven experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION • Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. • Experience working with language models like LLM's APIs and optimizing their usage for specific applications. • Experience with the following programming languages: Python, C++, Java, R, SQL • Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders • Strong client-facing skillsets in a consulting environment • Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams • Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation • MS or PhD in related field preferred (computer science, engineering, etc.)