Senior Consultant -Data Scientist- Bangalore

Location

Bangalore | India

Job description

Senior Consultant- Data Scientist

The opportunity

EY is looking for Senior Consultant/Consultant Data Scientist with expertise in one of the industries across: Banking, Insurance, not mandatory.

Overview:

Seeking a skilled data scientist with 3+ years of relevant experience. The ideal candidate should have experience of working with large data sets, using statistical and machine learning techniques to extract insights and build predictive models. The candidate should be able to work independently and have excellent communication and presentation skills

Responsibilities:

• Work closely with stakeholders to understand business problems and requirements.
• Analyse large data sets and identify patterns and trends.
• Excellent 5+ years of hands-on experience in Python programming (must)
• Excellent knowledge and exposure on ML algorithms
• Develop predictive models using statistical and machine learning techniques.
• Conduct hypothesis testing and experimentation to validate models.
• Collaborate with cross-functional teams to implement models and monitor their performance.
• Develop and maintain data pipelines and dashboards for tracking key performance metrics.
• Communicate findings and recommendations to stakeholders through visualizations, presentations, and reports.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of relevant experience as a Data Scientist
• Expertise in complete data science pipeline, including problem identification, data acquisition, exploratory data analysis, feature engineering, modelling, generation of insights and visualizations, monitoring, and maintenance.
• Proficiency in programming languages such as Python and/or R.
• Experience with data manipulation and analysis using SQL.
• Knowledge of machine learning techniques such as regression, classification, clustering, and time series analysis
• Intermediate to advanced levels of understanding of machine learning algorithms, probability theory and statistics.
• Excellent problem-solving and analytical skills
• Strong communication and presentation skills
• Ability to work independently and collaboratively in a team environment.

Preferred Qualifications:

• Familiarity with data visualization tools such as Power BI, Tableau, Qlik Sense, etc.
• Exposure to cloud platforms such as Azure/AWS.
• Experience in Deep Learning, NLP, Image Processing, etc

Ideally you’ll also have

•    Strong communication, facilitation, relationship-building, presentation and negotiation skills.
•    Be highly flexible, adaptable, and creative.
•    Comfortable interacting with senior executives (within the firm and at the client)
•    Strong leadership skills and supervisory responsibility

What we look for 

People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions.

What working at EY offers 

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2024 a reality.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

Job tags

Salary