Senior Associate, Data Science, Data and Analytics, Advisory

1 Year ago • 5 Years +

Data Analysis

Job Description

At PwC, individuals in data and analytics focus on leveraging data to drive insights and make informed business decisions. They use advanced analytics techniques to help clients optimize operations and achieve strategic goals. This role involves extracting insights from large datasets and driving data-driven decision-making through data manipulation, visualization, and statistical modeling to solve complex business problems. PwC offers a vibrant community of solvers who lead with trust and create distinctive outcomes, powered by technology and innovation. The firm rewards contributions, supports wellbeing, and offers inclusive benefits, flexibility programs, and mentorship to help individuals thrive. PwC is committed to providing equal employment opportunities and fostering an environment where everyone can be their true selves.

Good To Have:

Scala, Java, C++
Time series forecasting, Reliability models, Markov Models
Stochastic models, Bayesian Modelling
Classification Models, Cluster Analysis, Neural Network
Data analysis, SQL, MLOPS

Must Have:

Python, GenAI, Machine learning, Data science
Proficient in R, Python, SQL, Hive
Statistical modeling and Machine techniques
Deep learning frameworks (PyTorch, TensorFlow, Keras)
Data preprocessing, cleansing, and validation
Cloud platforms (Azure/AWS/GCP) for ML models
Big data platforms (Hadoop, Elasticsearch)
MLOps (Dockerization, REST APIs, CI/CD/CT)
Adapt foundation models/LLMs for business challenges
Version control for codebase integrity
Design, deploy, manage prompt-based LLM models
Build and maintain data pipelines for LLMs
LLM orchestration and agentic AI libraries
Translate domain problems to data science problems
Communicate effectively with stakeholders

Add these skills to join the top 1% applicants for this job

team-management

communication

data-analytics

forecasting-budgeting

cpp

game-texts

html

hbase

aws

azure

elasticsearch

hadoop

data-science

pytorch

deep-learning

ci-cd

python

keras

scala

sql

tensorflow

java

machine-learning

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. 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 purpose-led and values-driven 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.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities:

· Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. · Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. · Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). · Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis. · Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP. · Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). · Hand-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). · Adaptation of foundation models/LLMs to address specific business challenges. · Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment. · Design, deploy and manage prompt-based models on LLMs for various NLP tasks. · Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. · Familiarity with LLM orchestration and agentic AI libraries. · Good understanding of business and ability to translate domain problems to data science problem. · Ability to communicate effectively with both technical and non-technical stakeholders.

Mandatory skill sets:

· Python, 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 (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Large Language Model (LLM) Fine-Tuning, Python for Data Analysis

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date