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Position Description Summary
Position Details:
Job Title: Supervising Associate
- EDS
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
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Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions.
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Capability to clearly understand and articulate a data science problem and lead multiple projects with required support.
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Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus.
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Should have hands-on experience on database using SQL.
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Should have knowledge on Data visualization tool like Power BI.
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Good to have experience in any AutoML tool.
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Good to have experience in GenAI.
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Good to have experience in Azure cloud.
Client Responsibilities:
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Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions.
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Provide product and design level technical best practices
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Interface and communicate with the onsite coordinators
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Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc.
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Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.
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Completion of assigned tasks on time and regular status reporting to the lead
Experience and Qualification:
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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
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Should be at least around 5-6 years of experience in Analytics
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Should have understanding and experience of analytics best practices.
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Excellent business communication, Consulting, Quality process skills
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Must be a team player and team leader
Your people responsibilities (For People Leading Roles)
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Building a quality culture
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Manage the performance management for the direct reportees, as per the organization policies
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Foster teamwork and lead by example
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Training and mentoring of project resources
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Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc.)
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Participating in the organization-wide people initiatives
Additional Skills requirements
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Experience in Insurance/ Banking/ Finance
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Prior Client facing skills
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Prior onsite experience is a plus
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Should have engaged in client interactions, participating in business workshops
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.
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关于EY

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
员工数
London
总部位置
评价
3.4
10条评价
工作生活平衡
2.3
薪酬
3.7
企业文化
4.1
职业发展
3.8
管理层
3.2
65%
推荐给朋友
优点
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
缺点
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
薪资范围
31,254个数据点
Mid/L4
Mid/L4 · Operations Research Analyst
1,738份报告
$142,571
年薪总额
基本工资
$136,899
股票
-
奖金
$5,673
$100,128
$203,912
面试经验
7次面试
难度
3.0
/ 5
时长
14-28周
录用率
57%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
常见问题
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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