At a Glance
- Tasks: Solve complex business problems using advanced machine learning and analytics.
- Company: Join Accenture, a global leader in professional services and digital transformation.
- Benefits: Enjoy 30 days vacation, gym subsidies, private medical insurance, and extra leave for charity work.
- Why this job: Work with cutting-edge tech, famous brands, and a vibrant team culture that fosters growth.
- Qualifications: Experience in data science, machine learning, and coding languages like Python is essential.
- Other info: Opportunity to develop skills through world-class training and collaborate globally.
The predicted salary is between 36000 - 60000 £ per year.
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 Science 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 will 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.
In our team you will:
- Be at the forefront of the industry, creating, owning and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
- Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
- Work with famous brands and household names.
- Develop your skills with our world class training programmes.
- Drive and implement real world solutions into production that drive business value to our clients.
- Work alongside global teams to collaborate and deliver the best solutions for our clients.
- Drive your career progression via our structured career development programs.
- Align with our industry partners to develop your career and the solutions we deliver for our clients.
In this role you will:
- Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.
- Understand business requirements and support the development of business cases.
- Run discovery analytics to identify new and innovative opportunities.
- Partner with developers and engineers to deploy machine learning algorithms to deliver business value.
- Define approaches to embed and scale machine learning models.
- Build reusable assets, solutions and develop best practices for current and future business problems.
- Consult on complex analyses and advanced machine learning methods.
- Communicate and provide guidance to senior client leadership and teams.
- Contribute data science expertise to new sales activities.
- Shape DS Strategy and the delivery of DS solutions.
- Operate across multiple industries and functions.
- Develop others by bringing your unique knowledge and skillsets to the wider practice.
We are looking for experience in the following skills:
- Relevant work experience in data science, machine learning, and business analytics.
- Practical experience in coding languages e.g. Python, R, Scala, etc.; (Python preferred).
- Proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.
- Experience working with structured and unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.
- Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.
- Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
- Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
- Experience of using Cloud technologies e.g. AWS, GCP or Azure.
- Specialised visualisation techniques e.g. D3.js, ggplot etc.
- Strong verbal/written communication & data presentation skills.
- Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field.
Set yourself apart:
- Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation.
- Ability to successfully build relationships with clients and stakeholders.
- Mastery of problem solving and solutioning.
- Proven history and background in statistics/mathematics/macroeconomics.
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 30 days’ vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Data Science Consultant - Edinburgh (Edinburgh) employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant - Edinburgh (Edinburgh)
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI. Follow industry leaders on platforms like LinkedIn and Twitter to stay updated on new techniques and tools that are being discussed in the field.
✨Tip Number 2
Network with professionals already working at Accenture or in similar roles. Attend industry meetups, webinars, or conferences where you can connect with them and gain insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your practical experience with machine learning models and coding languages during interviews. Be ready to share specific examples of projects you've worked on and the impact they had on business outcomes.
✨Tip Number 4
Showcase your problem-solving skills by preparing for case study interviews. Practice articulating your thought process and how you approach complex data challenges, as this is crucial for a role focused on delivering real-world solutions.
We think you need these skills to ace Data Science Consultant - Edinburgh (Edinburgh)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and business analytics. Use keywords from the job description to demonstrate that you meet the specific requirements Accenture is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities outlined in the job description, such as your experience with machine learning methods or coding languages.
Showcase Your Skills: Include a section in your application that showcases your technical skills, particularly in Python, SQL, and any machine learning libraries you've used. Provide examples of how you've applied these skills in real-world scenarios.
Highlight Continuous Learning: Accenture values continuous learning and staying updated with advancements in the field. Mention any recent courses, certifications, or self-study initiatives you've undertaken to enhance your knowledge in data science and AI.
How to prepare for a job interview at Accenture
✨Showcase Your Technical Skills
Make sure to highlight your experience with relevant coding languages like Python, R, or Scala. Be prepared to discuss specific projects where you've applied machine learning techniques and how you fine-tuned models using libraries such as TensorFlow or PyTorch.
✨Understand the Business Context
Demonstrate your ability to connect data science solutions to real business problems. Be ready to explain how your work can drive value for clients and support their strategic goals, especially in the context of the industries Accenture operates in.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex analyses or deploying machine learning algorithms, as this will showcase your analytical capabilities.
✨Communicate Effectively
Strong verbal and written communication skills are crucial. Prepare to present your ideas clearly and concisely, especially when discussing technical concepts with non-technical stakeholders. This will demonstrate your ability to bridge the gap between data science and business.