Job Role: Data Science Consultant - Customer Data ModellingLocation: London/Manchester/Edinburgh/Newcastle
Career Level: Consultant - ML9
We Are:
Accenture Songaccelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at:https://www.accenture.com/gb-en/about/accenture-song-index
As a team:
The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.
Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.
You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
As a Data Science - Customer Data Modelling Consultant, you will:
Drive Customer and Marketing Innovation
- Solve complex business problems using advanced machine learning methods such as deep learning and quantitative analytics.
- Design and develop experiments with generative AI models and deep learning architectures.
- Consult on implementing and optimizing algorithms for content generation, including text, image, audio, and video formats.
- Identify and pursue innovative opportunities through discovery analytics.
Deliver Scalable AI Solutions
- Define approaches to embed and scale machine learning models within customer data platforms and enterprise systems.
- Partner with engineers and developers to deploy ML algorithms that deliver tangible business value.
- Ensure the scalability and efficiency of AI solutions in real-world production environments.
Consult and Guide with Impact
- Understand business requirements and support the development of business cases.
- Communicate insights and provide data science leadership to senior client stakeholders.
- Contribute expertise to new sales and pre-sales initiatives as a subject matter expert.
- Consult on complex analyses and advanced ML techniques across industries and use cases.
Build Best Practices and Reusable Assets
- Create reusable components, accelerators, and frameworks to address both current and future business needs.
- Shape data science strategy and support the delivery of end-to-end solutions for customer and marketing analytics.
- Operate across multiple industries and functions to bring insights into action.
Lead and Elevate the Practice
- Stay current with the latest advancements in generative AI and machine learning.
- Mentor others by sharing your domain knowledge, techniques, and innovative thinking.
- Contribute to a culture of learning, experimentation, and excellence within the data science community.
We are looking for experience in the following skills:
Core Data Science & Machine Learning
- Strong professional experience in data science, machine learning, and business analytics
- Hands-on experience with ML techniques such as XGBoost, deep neural networks, and transformers
- Practical knowledge of ML libraries and frameworks such as Fastai, Keras, TensorFlow, PyTorch, and Scikit-learn
- Ability to research, understand, and apply emerging machine learning techniques
Programming & Data Engineering
- Proficiency in programming languages such as Python (preferred) and C++
- Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video)
- Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc.
Cloud & AI Ecosystems
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Understanding of API integration and deploying solutions in cloud environments
- Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, Hugging Face)
LLMs & Emerging Tech Awareness
- Awareness of large language models (LLMs) and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning
Communication & Collaboration
- Excellent verbal and written communication skills
- Proven ability to explain complex technical concepts to non-technical audiences
- Strong data storytelling and presentation skills
What's In It For You:
Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:
- Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
- Family-friendly and flexible work policies.
- Attractive pension plan with financial wellbeing support and resources.
- Private healthcare insurance plan and Mental Wellbeing support.
- Employee Assistance Programme, Career Development and Counselling.
- A range of generous Parental Leave offerings.
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.
Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
Accenture is an equal opportunities employer and encourages applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change.
Visit us atwww.accenture.com
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
#J-18808-Ljbffr
