Data Scientist
2 days ago
Job Title: Data Scientist / Associate Data Scientist
Primary skills: Expertise in data analyses
Location: Hyderabad
Mode of work: On Site
Experience: 3-6 years
About the job
We are looking for a highly skilled and experienced Data Scientist to join our team who will serve as a bridge between data and advanced analytics, fostering a culture of data-driven decision making. By leveraging data modeling, cleansing, and profiling techniques, along with proficiency in SQL and programming languages such as PySpark, the data analyst ensures data integrity and reliability. The role supports operational efficiency and enables the organization to uncover trends, optimize processes, and better understand customer needs in a rapidly evolving data landscape in P&C insurance.
Know your team.
At Value Momentum, we've strategically established an Advanced Analytics Center in to bolster our AI and Analytics capabilities in the Property & Casualty (P&C) Insurance sector. This unit is dedicated towards revolutionizing the P&C Insurance with cutting-edge AI and analytics solutions. Advanced Analytics Center plays a pivotal role in company’s overall IT consulting and services talent strategy, with a focus on capability development, fostering reusability, and stimulating experimentation and innovation.
Our work environment is dynamic, intellectually stimulating, and seamlessly combines capability development with service delivery. Comprising a diverse team of data scientists, analysts, and consultants specializing in analytics, we offer a distinctive blend of industry expertise, AI proficiency, and top-tier technologies. By collaborating with business verticals, engineering centers, and our clients, Advanced Analytics team delivers state-of-the-art AI/analytics solutions across the P&C value chain – Product/Underwriting, Claims, Distribution, and Enterprise IT.
Responsibilities:
- Utilize knowledge of insurance data models, specifically Guidewire and Duckcreek, to interpret and analyze complex data structures.- Collaborate with stakeholders to ensure data models align with business needs and analytical requirements.- Perform data cleansing and validation to ensure data accuracy, consistency, and completeness.- Implement data enrichment processes to enhance datasets, providing deeper insights and more reliable analyses.- Conduct thorough data profiling to assess data quality and identify potential issues affecting analysis.- Generate comprehensive reports on data characteristics, anomalies, and trends to inform data governance and strategy.- Utilize SQL, NoSQL, Neo 4J to query and manipulate databases, ensuring effective data retrieval and analysis.- Collaborate with database administrators to optimize database performance and support analytical needs.- Stay updated with industry trends, tools, and best practices in data analytics and insurance.- Participate in training and development initiatives to enhance technical skills and analytical methodologies.
Requirements:
- 3-6 years of relevant experience in data analyses- Bachelor’s/Master’s degree in an information technology/computer science/Statistics/ Economics or equivalent fields experience.- Proficiency in Guidewire and Duckcreek data models, including an understanding of insurance industry practices.- High level of accuracy and attention to detail in data analysis and reporting.- Strong skills in data cleaning techniques and enrichment methodologies.- Experience in designing and implementing Extract, Load, Transform (ELT) processes for data integration.- Familiarity with data profiling tools and techniques to assess data quality.- Familiarity with cloud-based data storage and processing solutions (e.g., AWS, Azure, Databricks, Snowflake)- Advanced SQL, NoSQL skills for querying and managing relational databases.- Strong verbal and written communication skills, with the ability to present findings to non-technical stakeholders.- Basic project management skills to manage timelines and deliverables effectively.
Preferred:
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.- Certified Data Analyst Or Data Science certification is a plus- Familiarity with agile methodologies & tools- Prior experience in P&C Insurance Analytics- Proficiency in Python and PySpark for data manipulation, analysis, and automation.
About ValueMomentum
ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.
Our culture – Our fuel
At ValueMomentum, we believe in making employees win by nurturing them from within, collaborating and looking out for each other.
People first - Empower employees to succeed.
Nurture leaders - Nurture from within.
Enjoy wins – Recognize and celebrate wins.
Collaboration – Foster a culture of collaboration and people-centricity.
Diversity – Committed to diversity, equity, and inclusion.
Fun – Create a fun and engaging work environment.
Warm welcome – Provide a personalized onboarding experience.
Company Benefits
Compensation - Competitive compensation package comparable to the best in the industry.
Career Growth - Career development, comprehensive training & certification programs, and fast track growth for high potential associates.
Benefits: Comprehensive health benefits and life insurance.
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