Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
& Summary
.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
Responsibilities
Design and develop deep learning models for computer vision tasks such as Object detection (e.g., YOLO, Faster RCNN) Image classification (e.g., ResNet, EfficientNet) Semantic/instance segmentation (e.g., UNet, Mask RCNN) Video frame analysis, tracking, or scene understanding Use OpenCV for image/video preprocessing and classical vision tasks Filtering, contour detection, edge detection, motion tracking, image transformations Prepare and manage largescale image/video datasets frame extraction, annotation support, augmentation Evaluate models using appropriate metrics (IoU, mAP, F1, precisionrecall curves) Finetune or build from scratch using frameworks like PyTorch or TensorFlow Collaborate with crossfunctional teams to translate requirements into deployable models Write clean, modular, and welldocumented Python code for training and experimentation MustHave Skills 4 6 years of experience in applied deep learning roles with focus on computer vision Proficiency in Python with strong skills in data structures, vectorization, and modular coding Handson experience with OpenCV for traditional image/video processing tasks Strong understanding of CNN architectures and common vision model types Deep learning experience with PyTorch or TensorFlow Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) Familiarity with model training, loss functions, optimization techniques, and performance tuning NicetoHave Skills Experience with video analytics or multiobject tracking Familiarity with Albumentations, imgaug, or other augmentation libraries Exposure to transformerbased vision models (e.g., ViT, Swin) Basic understanding of explainability techniques for vision models (e.g., GradCAM) Experience working with edge devices, embedded systems, or realtime CV (optional)
Mandatory skill sets
Python, Open CV, Deep learning, GenAI ,machine learning, data science
Preferred skill sets
Data analysis, SQL, MLOPS
Years of experience
required
5+
Education qualification
BE/B.Tech/MBA/MCA
Education
Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration
Degrees/Field of Study preferred
Required Skills
Structured Query Language (SQL)
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}
No