Specialist - Finance Data Scientist

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence.
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment
  
  

About The Role

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.

What You Will Do

• 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.
  
  

What You Need To Be Successful

• 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).
• Experience working alongside data engineers and understanding of data pipeline architecture and data governance.
• Ability to connect the dots between data insights and financial impact (e.g., ROI, profitability, growth metrics).
• Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
  
  

Bonus Points if You Have

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
• Experience with Finance
• Experience with SAP Finance data, good understanding of SAP Finance data.
  
  

What Makes You Eligible

• This position requires up to 20% of travel.
• Be willing to work in Bangalore, India.
  
  

What We Offer

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.
• Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition reimbursement
• “Be Brilliant” employee recognition and rewards program.
• An inclusive and diverse work environment that fosters and encourages professional and personal development.

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