Gcp Data Scientist Manager Job In Pwc In Bengaluru / Bangalore

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismProduct InnovationManagement LevelManagerJob Description & SummaryA career in our Advisory Acceleration Centre is the natural extension of PwC's leading class global delivery capabilities We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagementsData ScientistConsulting practice in BangaloreExperienced Associates will work as an integral part of business analytics teams in India alongside clients and consultants in the US.

, performing high-end analysis and providing business recommendations to project teamsEducation BTech/BE.

/Master's Degree from reputed institute(s) - IIT/NIT/BITS Tier 1 collegesRequired Skills:

• Successful candidates will have demonstrated the following skills and characteristics:
• Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale
• Experience in cleansing, preprocessing and feature extraction on raw data
• Strong programming skills on languages like R, , and experienced on working with Jupyter Notebooks
• Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, EDA, etc Proficiency in statistics and smart analytics
• Worked on Google Cloud Platform (GCP) and its Cloud native ML services like Vertex AI, Bigquery ML, Auto ML, Kubeflow
• Good knowledge of machine learning methods for supervised or unsupervised training like k-Nearest Neighbors, PCA, Naive Bayes, SVM, Decision Forests, ensemble techniques, boosters, Neural Networks
• Experience in distributed processing/storage services like Spark, Bigquery, RDBMS, Google Storage
• Experience with like matplotlib, ggplot, Tableau, looker that help to visually encode data.
  
  
• Team player and demonstrated ability to work effectively across various internal organizations and international teams
• Certified with GCP Professional Machine Learning Engineer

Roles and Responsibilities:

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategiesDevelop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Required to meet tight deadlines and manage multiple competing priorities ability to work independently and navigate through ambiguous requirements
• Validate analysis & process with consultants/clients in US
• Analyze, develop recommendations, and conduct so-what analysis.
  
  
• Ability to build storylines and make presentations
• Manage the continuous improvement of data science and machine learning by following industry best practices

What we offer:

• Opportunity to work with an impressive array of leading companies that are strategically dependent on information and technology, Senior Associates can expect to get broad exposure to a variety of industries and assignments
• An opportunity to work with fast paced and innovative environment along with a group of world class and entrepreneurial professionals

Data Scientist - Manager (8-10 years)We are looking for Manager with 8-10 years of experience, to work in our AnalyticsConsulting practice in BangaloreManagers will work as an integral part of business analytics teams in India alongside clients and consultants in the US, performing high-end analysis and providing business recommendations to project teams.

Education BTech/BE/Master's Degree from reputed institute(s) - IIT/NIT/BITSRequired Skills:

• Successful candidates will have demonstrated the following skills and characteristics:
• Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale
• Experience using statistical computer languages (R, Python, SQL, etc.
  
  ) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, Natural Language processing, etc.
  
  
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc) and experience with applications
• Worked on Google Cloud Platform (GCP) and its Cloud native ML services like Vertex AI, Bigquery ML, Auto ML, Kubeflow
• Experience in developing MlOps pipelines for Continuous Training and Evaluation with frameworks like Kubeflow, Airflow, TFX
• Prior experience of having worked in consulting/product/analytics environment
• Team player and demonstrated ability to work effectively across various internal organizations and international teams
• Certified with GCP Professional Machine Learning Engineer
• Ability to mentor and train a team of 7-10 junior members

Roles and Responsibilities:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team
• Initiate open and candid coaching conversations at all levels
• Deal effectively with ambiguous and unstructured problems and situations
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
  
  
• Engage well with both internal and external stakeholders to understand requirements and translate them to analytical solutions
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategiesDevelop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Required to meet tight deadlines and manage multiple competing priorities ability to work independently and navigate through ambiguous requirements
• Manage the continuous improvement of data science and machine learning by following industry best practices

What we offer:

• Opportunity to work with an impressive array of leading companies that are strategically dependent on information and technology, Managers can expect to get broad exposure to a variety of industries and assignments
• An opportunity to work with fast paced and innovative environment along with a group of world class and entrepreneurial professionals

Data ScientistConsulting practice in Bangalore.

Experienced Associates will work as an integral part of business analytics teams in India alongside clients and consultants in the US, performing high-end analysis and providing business recommendations to project teamsEducation BTech.

/BE/Master's Degree from reputed institute(s) - IIT/NIT/BITS Tier 1 collegesRequired Skills:

• Successful candidates will have demonstrated the following skills and characteristics:
• Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale
• Experience in cleansing, preprocessing and feature extraction on raw data
• Strong programming skills on languages like R, , and experienced on working with Jupyter Notebooks
• Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, EDA, etc Proficiency in statistics and smart analytics
• Worked on Google Cloud Platform (GCP) and its Cloud native ML services like Vertex AI, Bigquery ML, Auto ML, Kubeflow
• Good knowledge of machine learning methods for supervised or unsupervised training like k-Nearest Neighbors, PCA, Naive Bayes, SVM, Decision Forests, ensemble techniques, boosters, Neural Networks.
  
  
• Experience in distributed processing/storage services like Spark, Bigquery, RDBMS, Google Storage
• Experience with like matplotlib, ggplot, Tableau, looker that help to visually encode data
• Team player and demonstrated ability to work effectively across various internal organizations and international teams
• Certified with GCP Professional Machine Learning Engineer

Roles and Responsibilities:

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategiesDevelop custom data models and algorithms to apply to data sets.
  
  
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Required to meet tight deadlines and manage multiple competing priorities ability to work independently and navigate through ambiguous requirements
• Validate analysis & process with consultants/clients in US
• Analyze, develop recommendations, and conduct so-what analysis
• Ability to build storylines and make presentations
• Manage the continuous improvement of data science and machine learning by following industry best practices

What we offer:

• Opportunity to work with an impressive array of leading companies that are strategically dependent on information and technology, Senior Associates can expect to get broad exposure to a variety of industries and assignments
• An opportunity to work with fast paced and innovative environment along with a group of world class and entrepreneurial professionals

Data Scientist - Manager (8-10 years)We are looking for Manager with 8-10 years of experience, to work in our AnalyticsConsulting practice in BangaloreManagers will work as an integral part of business analytics teams in India alongside clients and consultants in the U.

S, performing high-end analysis and providing business recommendations to project teamsEducation BTech/B.

E/Master's Degree from reputed institute(s) - IIT/NIT/BITSRequired Skills:

• Successful candidates will have demonstrated the following skills and characteristics:
• Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale
• Experience using statistical computer languages (R, Python, SQL, etc) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  
  ) and their real-world advantages/drawbacks
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, Natural Language processing, etc
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc) and experience with applications
• Worked on Google Cloud Platform (GCP) and its Cloud native ML services like Vertex AI, Bigquery ML, Auto ML, Kubeflow
• Experience in developing MlOps pipelines for Continuous Training and Evaluation with frameworks like Kubeflow, Airflow, TFX
• Prior experience of having worked in consulting/product/analytics environment
• Team player and demonstrated ability to work effectively across various internal organizations and international teams
• Certified with GCP Professional Machine Learning Engineer.
  
  
• Ability to mentor and train a team of 7-10 junior members

Roles and Responsibilities:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team
• Initiate open and candid coaching conversations at all levels
• Deal effectively with ambiguous and unstructured problems and situations
• Initiate and lead open conversations with teams, clients and stakeholders to build trust
• Engage well with both internal and external stakeholders to understand requirements and translate them to analytical solutions
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategiesDevelop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  
  
• Required to meet tight deadlines and manage multiple competing priorities ability to work independently and navigate through ambiguous requirements
• Manage the continuous improvement of data science and machine learning by following industry best practices

What we offer:

• Opportunity to work with an impressive array of leading companies that are strategically dependent on information and technology, Managers can expect to get broad exposure to a variety of industries and assignments
• An opportunity to work with fast paced and innovative environment along with a group of world class and entrepreneurial professionals

Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsOptional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa SponsorshipNoGovernment Clearance RequiredNo

Pwc is looking for .

Pwc is looking for Any Graduate / Post Graduate profile candidates.