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Data Science and AI Specialist

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  • Job
    Full-time
    Senior Level
  • Consulting
    Data
  • Johannesburg

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Operations Research, or related fields.
  • PhD is a plus but not required.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Expertise in data visualization tools (e.g., Tableau, Power BI, or D3.js).
  • Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud) and MLOps tools.
  • Familiarity with decision science techniques (e.g., optimization, game theory, simulation).
  • Strong problem-solving and analytical skills.
  • Excellent communication and presentation abilities.
  • Ability to work in a collaborative, fast-paced environment.
  • Strong business acumen with an understanding of how AI aligns with organizational goals.
  • 5- 8 years of experience in AI/ML, decision science, or related fields.
  • Proven track record of delivering AI-driven solutions that address business challenges.
  • Industry-specific experience in finance, healthcare, retail, or manufacturing is an advantage.
  • Critical thinking and a strong aptitude for problem-solving.
  • Innovation and creativity in applying AI to real-world problems.
  • Strong project management skills, including the ability to manage multiple projects simultaneously.
  • Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Mathematics, Operations Research, or related fields.
  • PhD is a plus but not required.

Responsibilities

  • Design, develop, and deploy AI/ML models and algorithms to solve complex business problems.
  • Conduct exploratory data analysis to identify trends, patterns, and insights relevant to decision-making.
  • Develop predictive and prescriptive models to support strategic planning and operational improvements.
  • Apply decision science frameworks to improve processes, optimize resources, and enhance decision-making.
  • Use advanced techniques like optimization, simulation, and scenario analysis to support business planning.
  • Translate business challenges into mathematical models and actionable insights.
  • Work closely with business leaders and cross-functional teams to identify opportunities for AI-driven transformation.
  • Clearly communicate technical findings to non-technical stakeholders, providing actionable recommendations.
  • Conduct workshops and training sessions to drive AI literacy within the organization.
  • Collaborate with data engineers to prepare, clean, and manage large datasets for AI/ML model training.
  • Ensure data integrity, accuracy, and compliance with organizational and regulatory standards.
  • Deploy AI/ML solutions into production environments and monitor performance.
  • Continuously evaluate models for accuracy, scalability, and effectiveness.
  • Document processes and create reusable frameworks to accelerate future projects.
  • Stay updated on emerging trends in AI, decision science, and analytics to recommend cutting-edge solutions.
  • Experiment with new technologies and frameworks to push the boundaries of existing capabilities.

FAQs

What is the primary purpose of the Data Science and AI Specialist role?

The primary purpose of the Data Science and AI Specialist role is to leverage advanced artificial intelligence, machine learning, and data science techniques to support data-driven decision-making across business functions, enhancing operational efficiency and delivering measurable business value.

What kind of experience is required for this position?

Candidates should have 5-8 years of experience in AI/ML, decision science, or related fields, with a proven track record of delivering AI-driven solutions that address business challenges.

What educational qualifications are expected for this role?

A Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Operations Research, or related fields is required. A PhD is a plus but not mandatory.

Which programming languages should candidates be proficient in?

Candidates should be proficient in programming languages such as Python, R, or Java.

What AI/ML frameworks should candidates have experience with?

Candidates should have strong experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.

Is industry-specific experience necessary?

Industry-specific experience in finance, healthcare, retail, or manufacturing is an advantage but not strictly necessary.

What are some key soft skills required for this position?

Key soft skills required include strong problem-solving and analytical skills, excellent communication and presentation abilities, and the ability to work in a collaborative, fast-paced environment.

Will the role involve collaboration with stakeholders?

Yes, the role will involve working closely with business leaders and cross-functional teams to identify opportunities for AI-driven transformation and clearly communicate technical findings to non-technical stakeholders.

What kind of solutions will the Data Science and AI Specialist be responsible for implementing?

The Data Science and AI Specialist will be responsible for deploying AI/ML solutions into production environments and monitoring their performance, including evaluating models for accuracy, scalability, and effectiveness.

Are there opportunities for innovation and research in this role?

Yes, there are opportunities for innovation and research, including staying updated on emerging trends in AI, decision science, and analytics, as well as experimenting with new technologies and frameworks to push the boundaries of existing capabilities.

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.

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