DS-Senior Associate-NLP

Key Skills

Algorithms, Big Data Technology, Client Handling, Data Analytics, Effective communication skills, Finance, Leadership, Machine learning techniques, Mentoring, Natural Language Processing (NLP), Python Programming, R Programming, SAS, statsmodels, Writing

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job purpose

• Module Leader/ Team Manager of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects mainly related to NLP.

Specific Role requirements

• Must have at least 3 years of deep experience in extracting meaningful insights from large unstructured data sets (text) and building descriptive/ predictive analytical solutions
• Must have experience working with text analytics libraries (Python) and algorithms like sentiment analysis, topic modelling, n-grams analysis, nltk, spacy, genism etc.
• Must be able to clearly understand and articulate a data science problem and work on it independently.
• Must be able to develop and deliver presentations, reports to communicate findings to clients.
• Must be able to guide other team members regarding data science problem solving approach.
• Good to have experience working with Azure cloud tech stack like Azure Cognitive Services, Synapse, etc.
• Good to have hands-on experience in handling various datasets and should be familiar with data science and machine learning technique like—linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering, recommendation engines and forecasting.
• Ability to work on big data is a plus.

Client Responsibilities:

• Need to be curious and ask the right questions to frame problems and find right analytic solutions
• Need to work as a senior team member to contribute in various technical streams of Decision Sciences implementation project.
• Provide product and design level technical best practices
• Interface and communicate with the onsite coordinators
• Develop analytical strategies for business by leveraging the right analytical techniques and technologies
• Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.
• Completion of assigned tasks on time and regular status reporting to the lead

Experience and Qualification:

• B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering or CA with strong quantitative background and adequate industry experience
• Should be at least around 3-5 years of experience in Analytics, preferably in text analytics.
• Should have understanding and experience of analytics best practices.
• Excellent business communication, Consulting, Quality process skills
• Must be a team player and team leader

Your people responsibilities (For People Leading Roles)

• Building a quality culture
• Manage the performance management for the direct reportees, as per the organization policies
• Foster teamwork and lead by example
• Training and mentoring of project resources
• Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc.)
• Participating in the organization-wide people initiatives

Additional Skills requirements

• Prior Client facing skills is a plus
• Excellent written and verbal communication skills

EY | Building a better working world 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.