At a Glance
- Tasks: Join us as a Data & AI Engineer to deploy machine learning models and build scalable data pipelines.
- Company: Accenture is a global leader in professional services, driving innovation across various industries.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charitable work!
- Why this job: Be part of a diverse team that values inclusion and makes a real impact on clients and communities.
- Qualifications: We're looking for tech-savvy individuals with skills in Python, cloud platforms, and data engineering.
- Other info: Flexibility is key; you'll collaborate with clients and partners to deliver top-notch services.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Job Title: Data & AI Engineer, Associate Manager CL8
Locations: London/Bristol/Manchester
Salary: Competitive salary and package (Depending on level of experience)
Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application.
Accenture 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 recognised 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
Job Qualifications
Key responsibilities
- Deploy machine learning models to production and implement measures to monitor their performance
- Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice
- Define, document and iterate data mappings based on concepts and principles of data modelling
- Re-engineer data pipelines to be scalable, robust, automatable, and repeatable
- Navigate, explore and query large scale datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Identify and resolve data issues including data quality, data mapping, database and application issues
- Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
- Deliver high quality implementation and documentation for critical functionality
- Deliver code, unit tests, feature tests, stubs and integration tests.
- Operate in an agile environment as part of a scrum team and participate in sprint rituals
- Work with team members to understand designs, functional requirements and triage issue
- Stay engaged with the latest technological developments, especially in the fields of generative AI
Qualifications
- We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below.
- Strong proficiency in Python
- Extensive experience with cloud platforms (AWS, GCP, or Azure)
Experience with:
- Data warehousing and lake architectures
- ETL/ELT pipeline development
- SQL and NoSQL databases
- Distributed computing frameworks (Spark, Kinesis etc)
- Software development best practices including CI/CD, TDD and version control.
- Containerisation tools like Docker or Kubernetes
- Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation)
- Strong understanding of data modelling and system architecture
- Demonstrable experience on at least one AI/ML project
- Knowledge of common machine learning frameworks and models
- A good understanding of approaches to monitoring ML models in production
- As a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to:
- Communicate effectively verbally and in writing, demonstrated through:
- Effectively explain complex technical solutions to a non-technical audience
- Writing meaningfully to deliver clear information, and guidance
- Giving impactful presentations, articulating clearly key points
Demonstrate critical thinking by:
- Analysing and evaluating information
- Using information gathered to present solutions and reach decisions
- Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems
Work in partnership with others to:
- Effectively manage both internal and external stakeholders to ensure synergy
- Collaborate meaningfully with all parties to ensure outcomes are reached effectively
Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered.
What’s in it for you
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
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 first-class services we are known for.
About Accenture
Accenture 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. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers.
With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com
Accenture is an equal opportunities employer and welcomes 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, or any other basis as protected by applicable law.
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and AI. Follow industry leaders on platforms like LinkedIn and Twitter to stay updated on new technologies and methodologies that are relevant to the role.
✨Tip Number 2
Engage in online communities or forums related to data engineering and AI. Participating in discussions can help you network with professionals in the field and gain insights into what companies like Accenture are looking for in candidates.
✨Tip Number 3
Consider working on personal projects or contributing to open-source projects that showcase your skills in Python, cloud platforms, and machine learning. This hands-on experience can be a great talking point during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems. Websites like LeetCode or HackerRank can be useful for honing your problem-solving skills, which are crucial for a Data & AI Engineer role.
We think you need these skills to ace Data & AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description for the Data & AI Engineer position. Focus on your proficiency in Python, cloud platforms, and any experience with machine learning projects.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of Accenture's values, such as inclusion and diversity. Mention how your background and experiences make you a great fit for their team.
Showcase Relevant Projects: Include specific examples of past projects that demonstrate your ability to deploy machine learning models, implement ETL pipelines, and work with large datasets. Highlight your role in these projects and the impact they had.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a technical role.
How to prepare for a job interview at Accenture
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any cloud platforms you've worked with, such as AWS, GCP, or Azure. Highlight specific projects where you implemented ETL pipelines or machine learning models, as this will demonstrate your hands-on experience.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You may need to present your ideas to non-technical stakeholders, so being able to articulate your thoughts clearly is crucial. Consider preparing a few examples of how you've done this in the past.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've identified and resolved data issues in previous roles. Think about specific challenges you've faced and the steps you took to overcome them, especially in relation to data quality and mapping.
✨Engage with Current Trends
Stay updated on the latest developments in AI and machine learning. Be ready to discuss recent advancements or tools you've explored, as this shows your commitment to continuous learning and innovation in the field.