Designation: Assistant Manager Data Science Location in Bangalore: Whitefield Shift Time: UK Shifts (starting 1:00pm IST) Experience: 7-9 years EY is one of the largest professional services firm in the world and is one of the "Big Four" accounting firms. The organization operates as a network of member firms which are separate legal entities in individual countries. It has 231,000 employees in over 700 offices around 150 countries in the world. It provides assurance (including financial audit), tax, consulting and advisory services to companies. EY is among the world's most attractive employers. It offers opportunities and experiences that bring out the best in its people at work every day. Collaborating with diverse teams across the globe helps our people develop a global mindset. EY develops outstanding leaders who deliver value to all our stakeholders to meet their strategic corporate objectives. GDS is EY's global client service delivery vehicle and is founded on an extended teaming model. With operations across the globe, GDS offers seamless services to 80 countries through its "high performing teams". GDS India has won several Global HR awards for its people practices: ranked first in the "Dream Companies to Work- . For the sixth consecutive year, we've been ranked as the "Best Place to Work for" in the - Great Place to Work- survey. Job purpose: - Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role requirements: - Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. - Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. - Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques like- linear regression, logistic regression, random forest, support vector machines, ANOVA /ANCOVA, optimization techniques, time series modeling, segmentation, decision tree, clustering, recommendation engines, and forecasting. - Ability to work on big data is a plus. Client Responsibilities: - 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 using model results of predictive modeling, time series forecasting, clustering and segmentation of customers - 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 with strong quantitative background and adequate industry experience - Should be at least around 5-6 years of experience in 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 modeling, machine learning, SAS/R/Python programming etc.) - Participating in the organization-wide people initiatives Additional Skills requirements: - Experience in Insurance/ Banking/ Finance - Prior Client facing skills - Prior onsite experience is a plus - Should have engaged in client interactions, participating in business workshops

Bangalore

EY - Assistant Manager - Data Science 

Job Description for EY - Assistant Manager - Data Science  in EY in  Bangalore for (7-9) years of experience. Apply Now!