Data & AI Science Consultant
Data & AI Science Consultant

Data & AI Science Consultant

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Solve complex business problems using advanced machine learning and data analytics.
  • Company: Accenture is a global leader in professional services, driving innovation and inclusion.
  • Benefits: Enjoy 30 days vacation, gym subsidies, private medical insurance, and extra leave for charity work.
  • Why this job: Join a vibrant team transforming industries with cutting-edge technology and diverse perspectives.
  • Qualifications: Experience in data science, machine learning, and proficiency in coding languages like Python.
  • Other info: Work with renowned brands and access world-class training to advance your career.

The predicted salary is between 43200 - 72000 £ per year.

Job DescriptionJob role: Data & AI Science Consultant

Location: London/Manchester/Edinburgh/Newcastle

Career Level: Consultant

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 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 the communities in which we work and live. It is personal to all of us.\” – Julie Sweet, Accenture CEO

In our team you will

Be at the forefront of the industry, you\’ll create, own and make 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.

Be working with famous brands and household names – no worrying about how to explain what you do to your family again!

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.

Qualification

Relevant work experience in data science, machine learning, and business analytics

Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)

Proficiency in database technologies eg. SQL, ETL, No‐SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.

Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.

Knowledge of machine learning modelling techniques and how to fine‐tune those models eg. 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 eg. AWS, GCP or Azure.

Specialised visualisation techniques eg. 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 YouAt 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!

Equal Employment Opportunity StatementAll employment decisions shall be made without regard to age, race, creed, color, 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 federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Please read Accenture\’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

About AccentureWe 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 WorkplacesTM.

Join Accenture to work at the heart of change. Visit us at www.accenture.com .

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Data & AI Science Consultant employer: WeAreTechWomen

Accenture is an exceptional employer, offering a vibrant work culture that champions innovation and diversity. With access to world-class training programmes and a commitment to employee well-being, you will thrive in an environment that encourages personal and professional growth while working on cutting-edge technologies with renowned clients. Enjoy generous benefits including 30 days of vacation, gym subsidies, and additional leave for charitable work, all while being part of a global network dedicated to making a positive impact.
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Contact Detail:

WeAreTechWomen Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data & AI Science Consultant

Tip Number 1

Familiarise yourself with the latest trends in data science and AI. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for 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. Building these relationships can provide valuable insights into the company culture and potentially lead to referrals.

Tip Number 3

Prepare to discuss real-world applications of machine learning and data analytics. Think of specific projects you've worked on or case studies that highlight your problem-solving skills. Being able to articulate your experience in a practical context will set you apart from other candidates.

Tip Number 4

Showcase your coding skills by contributing to open-source projects or creating your own. This not only enhances your portfolio but also demonstrates your ability to apply your technical knowledge in real scenarios. Make sure to mention these experiences during your interview.

We think you need these skills to ace Data & AI Science Consultant

Data Science
Machine Learning
Business Analytics
Python Programming
R Programming
Scala Programming
SQL Database Management
ETL Processes
No-SQL Technologies
Big Data Technologies
pySpark
Hive
Structured Data Analysis
Unstructured Data Analysis
Machine Learning Modelling Techniques
XGBoost
Deep Neural Networks
Transformers
Markov Chains
Fastai
Keras
TensorFlow
PyTorch
Sci-kit Learn
Hugging Face
Cloud Technologies (AWS, GCP, Azure)
Data Visualisation Techniques
D3.js
ggplot
Strong Verbal and Written Communication
Data Presentation Skills
Awareness of Large Language Models (LLMs)
Continuous Learning
Creative Problem Solving
Client Relationship Building
Statistics
Mathematics
Macroeconomics

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 how your skills align with Accenture's values and the specific responsibilities of the Data & AI Science Consultant position.

Showcase Your Technical Skills: Clearly outline your proficiency in coding languages like Python and your experience with database technologies. Provide examples of projects where you've successfully applied machine learning techniques to solve business problems.

Highlight Continuous Learning: Accenture values continuous learning and innovation. Mention any recent courses, certifications, or self-study you've undertaken to stay updated with advancements in data science and AI, showcasing your commitment to professional growth.

How to prepare for a job interview at WeAreTechWomen

Showcase Your Technical Skills

Be prepared to discuss your experience with coding languages like Python, R, and SQL. Highlight specific projects where you've applied machine learning techniques or data analytics to solve real-world problems.

Understand the Business Context

Demonstrate your ability to connect technical solutions to business outcomes. Be ready to explain how your work can drive value for clients and support their strategic goals.

Communicate Clearly

Strong verbal and written communication skills are crucial. Practice explaining complex data science concepts in simple terms, as you may need to present your ideas to non-technical stakeholders.

Emphasise Continuous Learning

Accenture values a growth mindset. Share examples of how you've kept up with the latest advancements in data science and AI, and express your enthusiasm for ongoing professional development.

Data & AI Science Consultant
WeAreTechWomen
Location: London
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