Lead Data Scientist – Machine Learning & Predictive Analytics - Chennai

Hiring for: One of India's leading financial services company in India offering a wide range of insurance and risk management solutions across health, motor, and commercial segments.

Role: Lead Data Scientist - Machine Learning & Predictive Analytics

Positions: 1

Experience: 8 to 12 years

Location(s): Chennai

Type: On-site / Permanent

Salary: Up to INR 40 LPA (Based on the fitment)

Notice Period: Immediate to 30 days

Purpose of Role

• In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
• To help the company analyze trends to make better decisions.
• Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes.
• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action.

Key Accountabilities

Responsibilities will include but will not be restricted to:

• Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities.
• Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions.
• Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions.
• Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Recruit, train, develop and supervise Junior level employees.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Requirements (what)

• Proven experience of 8-12 years as a Data Scientist.
• Post Graduate degree in Computer Science, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus.
• Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks.
• Knowledge of SQL, Python, SPARK; familiarity with Scala, Java or C++ is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi will be an added advantage.

Desired Personal Qualities or Behavior

• Strong Analytical critical thinking skills and business acumen
• Strong commitment to professional development.
• Process Oriented and excellent time management skills.
• Ability to adapt to new situations and issues and to solve problems.
• Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike.