Job Title: Data Science Finance Analyst 1
Job ID: 3152753
Location: Bangalore, Karnataka, India (On-site)
Employment Type: Full-Time
Batch: Open to Freshers and Experienced Candidates (0–3 Years)
Experience: 0–3 Years
Salary: As per Industry Standards
Qualification: BE/MTech/Bachelor’s or Master’s in Mathematics, Statistics, or related fields
Certifications (if any): Certifications in Data Science, ML, AI, or Business Analytics are a plus
About Us
HP Inc. is a global technology leader known for its innovation in personal computing, printing, and 3D solutions. Our heritage is rooted in solving problems and creating new possibilities through technology. We operate in more than 170 countries with a team of over 50,000 professionals who are passionate about shaping the future of work and life.
At HP, we believe in the power of diversity, sustainability, and innovation to drive meaningful impact. From redefining the workplace with cutting-edge devices to improving education and accessibility, HP is committed to making technology work for everyone, everywhere. With a strong emphasis on employee growth and community impact, HP remains a top choice for professionals looking to build a fulfilling, future-ready career.
We’re not just creating products—we’re creating experiences. Join us and be part of a dynamic team where your work truly matters. If you’re passionate about using data science to impact business decisions in finance, this is the perfect opportunity for you.
Key Responsibilities
As a Data Science Finance Analyst 1 at HP, your primary role will involve leveraging data science techniques to support business decisions and optimize financial outcomes. You’ll work with large datasets, employ statistical models, and create dashboards to help drive strategy within the finance department. Key responsibilities include:
Use digital skills and data science methodologies to design and build innovative finance solutions
Mine structured and unstructured data using modern tools and programming languages (Python, R, SQL)
Develop and refine algorithms and data models to identify trends and predict business outcomes
Conduct descriptive, diagnostic, and predictive analysis to support financial decision-making
Create and implement analytics-driven applications that align with business goals
Collaborate with finance and IT teams to understand business problems and gather requirements
Perform data wrangling, cleaning, and validation to ensure data accuracy and integrity
Create impactful visualizations using tools like Tableau, Power BI, or equivalent
Present data-driven stories to stakeholders for strategic planning and performance management
Stay up to date with advancements in data science tools and apply them to solve real-world financial challenges
Required Skills
To succeed in this role, candidates must bring a blend of technical expertise, analytical thinking, and business acumen. Here are the core skills HP is looking for:
Solid foundation in statistics, mathematics, and data modeling
Hands-on experience in programming languages like Python, R, or Julia
Understanding of machine learning techniques and when to apply them
Proficiency in SQL for data querying and relational database management
Experience with data visualization platforms like Tableau, Power BI, or Looker
Excellent problem-solving and critical-thinking abilities
Ability to clean, organize, and manage large datasets
Strong verbal and written communication skills to explain technical concepts to non-technical teams
Team collaboration skills to work effectively in cross-functional settings
Strong attention to detail with a focus on data integrity and quality assurance
Preferred Skills
While not mandatory, these additional skills and experiences can strengthen your application and help you stand out:
Familiarity with big data ecosystems such as Apache Spark, Hadoop, or AWS
Exposure to time-series forecasting, econometrics, or financial modeling
Knowledge of automation tools and scripting languages like Bash or PowerShell
Experience in building dashboards and custom reporting solutions for finance teams
Background in working with APIs, JSON, and data pipelines
Awareness of data governance, compliance, and cybersecurity best practices
Prior internship or academic projects related to data analytics in finance
Familiarity with version control systems such as Git or GitHub
Exposure to cloud-based platforms like Azure, GCP, or AWS for data science
Enthusiasm to learn emerging technologies and tools in the AI/ML ecosystem
Perks & Benefits
HP is committed to offering a supportive and rewarding work environment. Here are some of the perks and benefits you can expect as part of our team:
Competitive salary packages aligned with industry standards and your skillset
Health insurance coverage for you and your family, including dental and vision plans
Paid vacation days, personal time off, and flexible work schedules
Performance-based bonuses and rewards for high-impact contributions
Employee wellness programs, mental health support, and counseling services
Opportunities for upskilling through certifications, workshops, and training sessions
A culture of inclusion with employee resource groups and diversity networks
Access to cutting-edge technology and tools to enhance productivity
Internal mobility to explore roles across business functions and locations
Frequent team-building events, hackathons, and innovation challenges
Why Join Us?
At HP, we don’t just offer jobs—we offer careers that empower and inspire. Joining HP means becoming part of a forward-thinking company that values curiosity, integrity, and excellence. Here’s why you should consider a career with us:
Innovation at the Core: Be part of a company known for continuous innovation in hardware, software, and services.
Purpose-Driven Work: Use your skills to drive insights that have a direct impact on business performance and strategy.
Inclusive Culture: Work in a collaborative, diverse environment where everyone’s voice is heard and respected.
Growth Opportunities: Accelerate your career with access to leadership programs, mentorship, and global exposure.
Sustainability Commitment: Join a company that is serious about environmental responsibility and social good.
Global Reach: Work with talented colleagues across continents and contribute to global initiatives
Employee-Centric Policies: Enjoy a healthy work-life balance with policies designed for your well-being and development
Technology-Enabled Workspaces: Collaborate and innovate using world-class infrastructure and digital tools
Recognition and Rewards: Your work won’t go unnoticed—HP celebrates innovation, leadership, and results
Long-Term Vision: Be part of a company that invests in long-term goals, not just quarterly metrics
How to Apply
Apply Now: Click Here to Apply
To maximize your chances, tailor your resume to highlight your relevant data science skills, academic projects, internships, and familiarity with finance-related analytics. Emphasize your understanding of Python, SQL, and statistics, and provide links to any GitHub or portfolio work that showcases your expertise.
