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Decision Science Manager

  • Job
    Full-time
    Senior & Expert Level
  • Consulting
    Data
  • Dublin

AI generated summary

  • You need experience in data science, Generative AI, coding (Python preferred), databases, ML techniques, cloud tech, and strong communication skills to lead projects and solve complex problems.
  • You will lead teams, develop machine learning solutions, tackle business problems with AI, run analytics, collaborate on model deployment, influence client strategies, and support sales activities.

Requirements

  • Relevant work experience in data science, machine learning, and business analytics
  • Practical experience with Generative AI models, e.g. Prompt Engineering, RAG, etc
  • Practical experience in coding languages eg. Python, R, Scala, etc.(Python preferred)
  • Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. 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, ResNets, VAEs, GANs, Markov chains, etc
  • Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc
  • Experience of using Cloud technologies eg. AWS, GCP or Azure
  • Strong verbal/written communication & data presentation skills
  • Ability to lead large projects and drive through to completion
  • Mastery of problem solving and solutioning
  • Strong analytics experience an industry or business function

Responsibilities

  • Lead, motivate and inspire teams combined from our wider Data & AI practice
  • Create bespoke machine learning solutions to model/solve problems and to help develop the team
  • Tackle ambitious business problems using Generative AI or advanced machine learning methods such as Deep Learning and quantitative analytics
  • Run discovery analytics to identify new and innovative opportunities
  • Understand business requirements and support the development of business cases
  • Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects
  • Devise reusable assets, solutions and develop best practices for current and future business problems
  • Lead analytical discussions and influence analytical direction of client's teams
  • Communicate and provide guidance to senior client leadership and teams
  • Contribute data science or decision science expertise to new sales activities

FAQs

What are the primary responsibilities of a Decision Science Manager at Accenture?

The primary responsibilities include leading and motivating teams, creating bespoke machine learning solutions, tackling business problems using advanced machine learning methods, running discovery analytics, understanding business requirements, deploying machine learning models, and contributing expertise to sales activities.

What skills are required for this role?

Required skills include relevant work experience in data science and machine learning, practical experience with Generative AI models, proficiency in coding languages (preferably Python), experience with database technologies and Big Data, knowledge of machine learning techniques, and experience using Cloud technologies.

What kinds of projects will I be working on?

You will work on ambitious projects that involve using Generative AI and advanced machine learning methods to solve complex business problems for well-known brands.

What is the career level for this position?

The career level for this position is 7.

Where is the position located?

The Decision Science Manager position is located in Dublin.

Are there opportunities for training and professional development?

Yes, Accenture offers access to training and a global network of experts, providing ample opportunities for learning and career advancement.

What benefits are included with this role?

Benefits include a competitive base salary, an extensive benefits package (including pension and private health insurance), employee discount schemes, 25 days of holidays, and 2 days’ leave for charitable work, along with flexible working arrangements.

Is experience in specific technologies preferred for this job?

Yes, practical experience with technologies such as Cloud (AWS, GCP, Azure), specialized machine learning libraries (like TensorFlow, PyTorch), and database technologies is preferred.

Does Accenture promote diversity and inclusion in the workplace?

Yes, Accenture is an equal opportunities employer and encourages applications from all sections of society, emphasizing diversity and inclusion.

How can I apply for this position?

Interested candidates can apply through the Accenture career portal or contact accessIErecruitment@accenture.com for any specific requirements or adjustments needed during the recruitment process.

Technology
Industry
10,001+
Employees
1989
Founded Year

Mission & Purpose

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities.

Culture & Values

  • Client Value Creation

    Enabling clients to become high-performance businesses and creating long-term relationships by being responsive and relevant and by consistently delivering value.

  • One Global Network

    Leveraging the power of global insight, relationships, collaboration and learning to deliver exceptional service to clients wherever they do business

  • Respect for the Individual

    Valuing diversity and unique contributions, fostering a trusting, open and inclusive environment and treating each person in a manner that reflects Accenture’s values.

  • Best People

    Attracting, developing and retaining the best talent for our business, challenging our people, demonstrating a “can-do” attitude and fostering a collaborative and mutually supportive environment.

  • Integrity

    Being ethically unyielding and honest and inspiring trust by saying what we mean, matching our behaviors to our words and taking responsibility for our actions.

  • Stewardship

    Fulfilling our obligation of building a better, stronger and more durable company for future generations, protecting the Accenture brand, meeting our commitments to stakeholders, acting with an owner mentality, developing our people and helping improve communities and the global environment.

Benefits

  • Medical coverage

    Employees have a choice of national plans (PPO, EPO, HDHP) covering a wide range of medical services and prescription drugs.

  • Parental leave

    16 weeks paid maternity leave for birth parents. 8 weeks paid time off for other parents

  • Flexible work arrangements

    Flexible work arrangements help employees achieve work/life balance while also meeting Accenture’s business needs.

  • Paid time off

    PTO encompasses traditional vacation time along with paid sick leave; days vary based on level and tenure from 17 to 27 per year.

  • Holidays

    We provide 8 paid standard holidays and 2 culture days (for any days you choose), in addition to the PTO program.

  • Life Insurance

    Accenture provides you with a basic level of coverage and you can purchase more coverage for yourself and your family.