Data Analyst/Scientist

2 days ago

Hubli, Karnataka, India beBeeDataScience Full time ₹ 10,00,000 - ₹ 20,00,000
Unlocking Business Value through Data Science">

We are seeking a talented data scientist to join our finance analytics team. The ideal candidate will have hands-on experience supporting data science initiatives and be able to develop predictive and prescriptive analytic solutions to drive business value.

The successful candidate will possess strong analytical skills, the ability to communicate complex technical concepts to non-technical stakeholders, and excellent problem-solving abilities. They will also have experience working with diverse tools, strategies, algorithms, and programming languages.

Key Responsibilities:

  • Maintain production forecast modeling pipeline, including model monitoring and refitting models as needed.
  • Collaborate with business partners to understand requirements, design, and build effective solutions for complex business problems.
  • Integrate data from multiple sources and build robust, cross-functional data assets to support analytics.
  • Assess the effectiveness and accuracy of the data and data gathering techniques, determine materiality of data issues and challenges, disposition, and recommend a path forward.
  • Perform multivariate and exploratory data analysis and communicate key findings to colleagues and business partners.
  • Utilize statistics and machine learning to build predictive models and tools supporting business initiatives.
  • Work closely with the team to perform complex analytics and data preparation tasks, including feature engineering and brainstorming potential data sources, internal and external, that may contain predictive variables.
  • Communicate and present findings, including visualizations, to business partners to ensure successful integration of projects into business process.
  • Provide training guidance and assistance to colleagues.
  • Analyze data, draw meaningful conclusions, and assist in developing solutions to help drive profitability and/or growth.

Qualifications, Skills, and Experience

  • Bachelor's degree in computer science, data science, statistics, software engineering, or related field.
  • Experience in Python programming language.
  • Familiarity with time series modeling.
  • 2+ years of data science-related experience.
  • Excellent data analysis and advanced data manipulation techniques using SQL.
  • Excellent oral and written communication skills.
  • Experience with predictive modeling and working with data scientists.
  • Data visualization tool experience.
  • Business experience and knowledge of the P&C industry.
  • Experience with cloud-based technology.
  • Excellent working knowledge of relational databases.
  • Ability to adapt to rapidly changing stakeholder requirements.
  • Quick to learn, able to prioritize activities, and responsive to business needs.
  • Ability to communicate and present on complex technical concepts to specialist and non-specialist audiences.

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