Junior Data scientist

About the Role

We are seeking a Data Scientist with 2–4 years of experience who specializes in machine learning and deep learning techniques. The ideal candidate will design, train, and deploy advanced models to solve complex business problems, working with large-scale datasets and collaborating across engineering and product teams.

Key Responsibilities

Machine Learning & Deep Learning

• Develop, train, and optimize models using frameworks such as TensorFlow, PyTorch, or Keras.
• Apply deep learning architectures (CNNs, RNNs, Transformers) to tasks like image recognition, image segmentation.
• Ability to work with localisation and object detection algorithms like Yolo for advanced video analytics.
• Experiment with large language models (LLMs) and fine-tune them for domain-specific applications.
• Some exposure to AI Agents using frameworks like Langchain, Autogen etc.

Data Analysis & Engineering

• Preprocess and manage structured and unstructured datasets.
• Implement feature engineering and dimensionality reduction techniques.
• Experience in cloud platforms like Azure, AWS or GCP is a big plus.

Deployment & Scalability

• Build end-to-end ML pipelines from data ingestion to model deployment.
• Collaborate with engineers to integrate models into production systems.
• Monitor model performance and retrain as needed.

Business Impact

• Translate business challenges into ML solutions.
• Present insights and recommendations to stakeholders using clear visualizations and reports.

Requirements

• Programming: Strong proficiency in Python (NumPy, Pandas, Scikit-learn) and ML/DL frameworks (TensorFlow, PyTorch, Keras).
• ML Expertise: Solid understanding of supervised/unsupervised learning, reinforcement learning, and neural networks.
• Deep Learning: Hands-on experience with CNNs, RNNs, LSTMs, and Transformer-based models.
• Data Handling: Strong SQL skills and familiarity with big data tools.
• Data Engineering: Experience in cloud platforms like Azure ML, Sagemaker, GCP etc.
• Soft Skills: Strong analytical thinking, communication, and ability to work in cross-functional teams.

Why work here:

At WPP Production, you'll help shape the future of content production at a truly global scale. We bring together world-class talent, cutting-edge studios, and advanced technology to solve some of the most complex creative and production challenges in the industry. You'll work in a collaborative, borderless environment where craft excellence is valued, innovation is encouraged, and AI and next-generation tools are used to amplify not replace human creativity. With access to diverse projects, global career opportunities, and the backing of WPP's unmatched network, this is a place where you can grow your skills, make real impact, and create work that performs for every audience, across every channel, at every moment.