At a Glance
- Tasks: Design and operationalise AI/ML solutions for enterprise clients using cutting-edge technologies.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture with strong focus on diversity and innovation.
- Why this job: Make a real impact by solving complex business problems with AI and machine learning.
- Qualifications: Experience in machine learning engineering and proficiency in Python and relevant frameworks.
The predicted salary is between 60000 - 80000 £ per year.
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 DevOps & MLOps 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 production.
Education
- Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field.
Basic (Required) Qualification
- Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
- Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
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.
AI/ML Computational Science Senior Analyst in London employer: Accenture
Accenture is an exceptional employer for AI/ML Computational Science Senior Analysts, offering a dynamic work culture that fosters innovation and collaboration. With a commitment to employee growth, you will have access to cutting-edge technology and resources, enabling you to develop impactful AI solutions while working alongside diverse teams in a global environment. The company's focus on diversity and inclusion ensures a supportive atmosphere where your unique contributions are valued, making it a rewarding place to advance your career.
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We think this is how you could land AI/ML Computational Science Senior Analyst in London
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We think you need these skills to ace AI/ML Computational Science Senior Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Accenture
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
