Job Description

Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements and skills

• Coding experience in Python (Mandatory) & R(Optional), Java & C++(optional)
• Able to analyze & visualize text, audio & video data. Data engineering: able to analyze data statistically.
• Prior experience of developing credit risk & fraud detection models for banks, NBFC & Fintech.
• Well versed with Descriptive, Predictive & Prescriptive Analytics Experience of time series analysis & forecasting
• Understanding LLMs, prompt engineering and its architecture.
• Should have understanding of ML Ops Understanding of cloud services like AWS Ability to collaborate with tech & business team and approach problem logically and solve problem using data driven decisions.
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Knowledge of using business intelligence tools (e.g. Power BI / Tableau) and data frameworks
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills

Location: This is a Work from office position in Mumbai

Job Type: Full-time

Pay: ?1,200,000.00 - ?2,000,000.00 per year

Schedule:

• Day shift

Ability to commute/relocate:

• Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Data Science: 3 years (Required)

Work Location: In person