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- Design and develop solutions related to machine learning, natural language processing and deeplearning & Generative AI to address business needs.
- Daily the team utilizes the latest technologies to work creatively and analytically to apply cuttingedge techniques to specific challenges
- You need exceptional skills in data science and continuously expand personal skill sets and stay upto speed on the latest A.I. trends, tools, methodologies, and techniques.
- Ideally 4 to 6 years of relevant experience.
- Bachelor's Degree in Computer Science, Engineering or other technical discipline (BE, BTech,MCA).
- Performing in development language environments- e.g. Python, Java, Scala, R, SQL, etc. andapplying analytical methods to large and complex datasets leveraging one of those languages
- Candidate should have a solid work exposure to Generative AI based projects that includesdesigning and implementing solutions based on Langchain framework and designing efficientprompt for LLM's.
- Candidate should have good experience in pre-training and fine tuning Large Language Models(LLM's) on HuggingFace models & other Large Language Models.
- Candidate should have prior experience on Azure cloud platform.
- Experience in machine learning, natural language processing and deep learning.
- Proven ability with NLP and text-based extraction techniques.
- Familiarity with deep learning architectures used for text analysis, computer vision and signalprocessing.
- Understanding of not only how to develop data science analytic models but how to operationalizethese models so they can run in an automated context
- Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks NaiveBayes, SVM, and Decision Forests.
- Utilizing and applying knowledge commonly used data science packages including Spark,Pandas, SciPy, and NumPy.
- Leading, training and working with other data scientists in designing effective analyticalapproaches taking into consideration performance and scalability to large datasets
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data fromvarying sources
- Applying techniques such as multivariate regressions, Bayesian probabilities, clusteringalgorithms, machine learning, dynamic programming, stochastic-processes, queuing theory,algorithmic knowledge to efficiently research and solve complex development problems andapplication of engineering methods to define, predict and evaluate the results obtained.
- Developing and deploying A.I. solutions as part of a larger automation pipelineGood to Have
- Demonstrates extensive abilities and/or a proven record of success in the application of statisticalmodelling, algorithms, data mining and machine learning algorithms problem solving
- A track record of delivery within a number of large-scale projects, demonstrating ownership ofarchitecture solutions and managing change
- Utilizing programming skills and knowledge on how to write models which can be directly used inproduction as part of a large-scale system.
- Utilizing and applying knowledge of technologies such as , Google Machine Learning andDeep learning.
- Developing end to end deep learning solutions for structured and unstructured data problems.
- Using common cloud computing platforms including Azure, AWS and GCP in addition to theirrespective utilities for managing and manipulating large data sources, model, development, anddeployment.
- Visualizing and communicating analytical results, using technologies such as HTML, JavaScript,D3, Tableau, and PowerBI.Other Skills
- Documenting systems, refining requirements, self-identify solutions and communicate to theteam;
- Demonstrating a desire to keep learning, maintain own skill set, stay up to date and expand one'sknowledge across the full stack;
- Demonstrating a desire to improve the 'status quo', especially automating and improving softwaredevelopment and operations processes to achieve massively higher delivery velocity andoperations quality;
- Contributing to thought leadership through participation in the development of technologyprocesses;
- Applying continuous independent judgement while collaborating with others, and influencingothers within the project and domain teams; and,
- Building and leveraging relationships as well as specialist level verbal and written communicationskills.
- Data Science Certifications in Machine Learning, Deep Learning and Natural LanguageProcessing.
Data Scientist-Senior Associate-P&T Labs - Hyderabad, India - PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited
Description
& SummaryA career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.Our team collaborates with product strategy and product managers to govern readiness standards in achieving principles (compliance, privacy, security) by design for what PwC's technology assets require to be successful in the market.
They provide guidance for product development across the lifecycle (ideation / strategy through commercialization / monetization).Additionally, they facilitate market readiness for technology assets overall, as changes occur to assets or market conditions throughout the asset's life cycle.
Data Science/ML - Senior AssociatePwC LabsPwC Labs is focused on standardizing, automating, delivering tools and processes and exploringemerging technologies that drive efficiency and enable our people to reimagine the possible.
Processimprovement, transformation, effective use of innovative technology and data & analytics, and leveragingalternative delivery solutions are key areas of focus to drive additional value for our firm.
If as aprofessional you are looking to put your skills to work in a product-based, fast paced, entrepreneurial, andinclusive environment, PwC Labs is the team for you.
A career in our PwC Labs, will provide you with a unique opportunity to build transformative products andinnovate mechanisms that bring new insights to our business and customers that can help identifybusiness gaps, solve problems, and build new business opportunities.
Day to day responsibility:
As a Data Scientist, you will be responsible for the below activities:
Must Have
Preferred Certifications (at least two certifications are preferred):
CertificationsRequired SkillsOptional SkillsDesired LanguagesTravel Requirements0%
Available for Work Visa Sponsorship?No
Government Clearance Required?No
Job Posting End Date