Data Scientist

Role & responsibilities

We are seeking a highly skilled and results-oriented Data Scientist to join our team, with a strong foundation in statistical modelling, machine learning, and data engineering collaboration. The ideal candidate will have a proven track record of delivering predictive and descriptive analytics use cases in the finance domain that have led to measurable improvements in profitability, revenue growth, and operational efficiency.

• Collaborate closely with finance stakeholders to translate business problems into data science solutions with quantifiable impact.
• Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions.
• Develop and deploy predictive, descriptive, and prescriptive models to support finance-led initiatives (e.g. pricing, risk scoring, demand forecasting, customer segmentation).
• Write clean, efficient, and reproducible code in Python, R, or Scala for analytics and modelling tasks.
• Perform exploratory data analysis, data wrangling, feature engineering, and validation of data quality and integrity.
• Generate actionable insights and dashboards that drive decision-making in areas such as revenue growth, margin improvement, and cost optimization.
• Analyze large datasets to identify trends, patterns, and opportunities using statistical and machine learning techniques!
• Communicate technical results to non-technical audiences through compelling visualizations and storytelling.
• Partner with data engineers to define and design robust data pipelines and reusable data assets that power analytics and machine learning.
• Continuously evaluate and implement new modelling techniques, tools, and technologies to improve effectiveness and efficiency.

Preferred candidate profile

• 3+ years of experience in data science roles, preferably with a focus on finance use cases.
• Strong proficiency in Python (preferred), R, SQL, and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Solid experience with statistical modelling, machine learning algorithms, and time-series forecasting.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and big data tools (e.g., Spark, Databricks).

Note: Looking for Immediate & Max 45 days Notice Period only.

ambika.dongre@harman.com