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Strategyandmiddleeast

Strategyandmiddleeast

Jr. Data Scientist

Role

Jr. Data Scientist

Job type

-

Found on Mokaru

11 months ago

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Salary

Not disclosed by employer

Job description

Strategy& is a global strategy consulting business uniquely positioned to help deliver your best future: one that is built on differentiation from the inside out and tailored exactly to you. As part of PwC, every day we’re building the winning systems that are at the heart of growth. We combine our powerful foresight with this tangible know-how, technology, and scale to help you create a better, more transformative strategy from day one.

As the only at-scale strategy business that’s part of a global professional services network, we embed our strategy capabilities with frontline teams across PwC to show you where you need to go, the choices you’ll need to make to get there, and how to get it right.

The result is an authentic strategy process powerful enough to capture possibility, while pragmatic enough to ensure effective delivery. It’s the strategy that gets an organization through the changes of today and drives results that redefine tomorrow. It’s the strategy that turns vision into reality. It’s strategy, made real.

Responsibilities

Data Analysis & Exploration

  • Conduct exploratory data analysis to understand datasets, identify trends, and detect anomalies.
  • Collaborate with Data Engineers to ensure data quality and readiness.
  • Generate actionable insights to inform AI/ML system design and product features.

Model Development & Evaluation

  • Build, train, and evaluate machine learning models using supervised learning (classification, regression), unsupervised learning (clustering, anomaly detection) and feature engineering and selection techniques.
  • Design experiments, test hypotheses, and validate performance with relevant metrics.

Data Visualization & Prototyping

  • Identify visualization needs and design data dashboards and reports.
  • Combine model development and visualization to prototype solutions and deliver PoCs.
  • Collaborate with AI/ML Engineers and Full-Stack Developers to integrate models into end-user applications.
  • Communicate results and present data and insights in meaningful way.

Collaboration & Continuous Improvement

  • Work with product teams to align models with business needs and user requirements.
  • Stay updated with the latest advancements in AI/ML, including LLMs and applied machine learning techniques.
  • Contribute to knowledge sharing, documentation, and internal best practices.

Knowledge, skills and abilities

Qualifications

  • Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics or related technical field
  • Internship, or academic project experience involving data analysis or ML Models

Skills

  • Familiarity with python for data analysis and modeling including libraries such aspandas, numpy, scikit-learn, XGBoost, pytorch
  • Understanding of data visualization tools and libraries such as Tableau, matplotlib, plotly
  • Knowledge of ML workflows (training, evaluation, tuning)
  • Exposure to feature engineering and data preprocessing techniques
  • Ability to work with structured and semi-structured data
  • Familiarity with ML experimentation tools (MLFlow or similar)
  • Exposure to LLMs, embeddings or retrieval-augmented generation is a plus
  • Solid communication skills, framing business problems and translating requirements
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