SS&C TECH

Intern Data Scientist

Hyderabad, India Full time

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Job Title: Intern Data Scientist

Locations: Hyderabad, India

Get To Know Us:

SS&C Intralinks is a global technology provider of inter-enterprise content management and collaboration solutions.  Its products serve the enterprise collaboration and strategic transaction markets, enabling the exchange, control, and management of information between organizations.

Why You Will Love It Here!

  • Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
  • Your Future: Provident Fund
  • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
  • Your Wellbeing: Mediclaim, Term Life Insurance, Accidental Coverage, Employee Assistance Program, Parental Leave
  • Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
  • Training: Hands-On, Team-Customized, including SS&C University
  • Extra Perks: Diwali voucher, Monthly remunerated RnR program

What You Will Get To Do:

  • Work in a cross-functional Scrum team, informing requirements and design and seeing it all through to implemented code in production.
  • Work closely with team, challenging their decisions and collaborating with them to optimize technical designs.
  • Inspect iterative results and propose improvements to technique, tools, and process.
  • Take co-ownership of your Definition of Done with your Development Team member peers and be uncompromising on quantifiable code quality.
  • Get to know your customer and empathize with their pain points so that when you solve their problems you share in the satisfaction.

What You Will Bring:

  • Assist in analyzing large datasets to extract actionable insights using statistical and machine learning techniques.
  • Support the development and validation of predictive models to solve real-world business problems.
  • Clean, preprocess, and transform raw data to enable robust analysis and modeling.
  • Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions.
  • Visualize data trends and model results using tools like Matplotlib, Seaborn, or Plotly.
  • Explore and experiment with algorithms including regression, classification, and clustering.
  • Contribute to building and maintaining data pipelines and automation scripts.
  • Document analysis processes, model assumptions, and key findings clearly.
  • Stay up to date with current data science tools, libraries, and industry best practices.
  • Participate in team meetings, brainstorming sessions, and code reviews to enhance project impact and learning.

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

For any queries related to hiring, please feel free to contact us @ IndiaTATeam@sscinc.com.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website @ www.ssctech.com/careers.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.