Berkley

Decision Science Analyst

Berkley • $80K — $95K *
Irving, TX 75061In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field; equivalent experience considered.
  • 1-3 years in data analytics or decision science.
  • Experience with Azure AI and Databricks is essential.
  • Familiarity with integrating Large Language Models (LLMs) and prompt engineering.
  • Strong skills in SQL and Python or R for advanced analytics.
  • Proven ability in data cleaning and transformation processes.
  • Solid grasp of statistical analysis and data visualization techniques.

Responsibilities

  • Analyze and transform large datasets for strategic decision-making.
  • Leverage Azure AI and Databricks to create scalable data pipelines.
  • Collaborate with teams to implement LLMs into workflows.
  • Translate complex data insights into actionable strategies for stakeholders.
  • Support predictive analytics and machine learning model development.
  • Document methodologies, data sources, and findings for transparency.
  • Stay updated on trends in analytics and decision science to propose innovative solutions.

Benefits

  • Robust employee benefits package.
  • Opportunities for skill development and training.
  • Collaborative work environment with cross-functional teams.
Full Job Description
Responsibilities

The Decision Science Analyst plays a key role in transforming raw data into actionable business insights that inform strategic decision-making across the organization. This position will work closely with cross-functional teams including Underwriting, Claims, Finance, and Actuarial to support data-driven initiatives and improve operational outcomes.

Responsibilities

  • Analyze, cleanse, and transform large datasets to support strategic and operational business decision-making.
  • Leverage Azure AI and Databricks to build scalable data pipelines and analytical models.
  • Partner with business and technology teams to evaluate, implement, and integrate Large Language Models (LLMs) into business processes and workflows.
  • Translate complex data findings into clear, meaningful, and actionable insights for stakeholders across underwriting, claims, finance, and actuarial departments.
  • Support experimentation and model development for predictive analytics and machine learning initiatives.
  • Document analytical methodologies, data sources, processes, and findings to ensure transparency, consistency, and reproducibility.
  • Stay informed on emerging trends in analytics, artificial intelligence, and decision science to recommend innovative solutions.
  • Perform other duties as assigned.


Qualifications

Education

Bachelor's degree with emphasis in Computer Science, Computer Information Systems or equivalent combination of education and work experience will be considered.

Qualifications

  • 1-3 years of experience in data analytics, decision science, or a related field.
  • Proficiency in data cleaning and transformation techniques.
  • Strong experience with Azure AI and Databricks.
  • Familiarity with LLM integration and prompt engineering.
  • Solid understanding of statistical analysis and data visualization.
  • Proficiency in SQL, and Python or R for advanced analytics.
  • Excellent communication and storytelling skills using data.
  • Demonstrable experience with RAG / MCP implementation.
  • Experience with machine learning models, including training, validation, and deployment, preferred.
  • Exposure to MLOps and model lifecycle management, preferred.


The company offers a competitive compensation plan and robust benefits package for full time regular employees.

The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship Details

Sponsorship not Offered for this Role

About Berkley

Berkley is a packaging company that develops innovative solutions to help our customers sell more product and be on the edge. Berkley offers the cost advantages and creative control of an in house/on site agency without the risk and hassle of oversight. Berkley develops turnkey retail environments – including design, manufacturing and installation services.

Berkley Careers

Joining Berkley presents a prime opportunity to be part of a team renowned for its leadership in the industry, fostering innovation and growth. Berkley, a company committed to professional excellence and diversity, offers a range of job opportunities that cater to various skills and career aspirations.

Explore Job Opportunities

Berkley is actively hiring, seeking individuals who are passionate, driven, and ready to contribute to a dynamic team environment. With a variety of positions available, Berkley provides a platform for professionals at every stage of their career, from entry-level to senior leadership roles.

Internship Programs

Kickstart a career with Berkley through comprehensive internship programs designed to provide hands-on experience in a real-world setting. Internships at Berkley are a gateway to full-time employment, offering invaluable industry exposure and networking opportunities.

Professional Growth and Development

Berkley is dedicated to the continuous professional development of its team members. The company supports career advancement through leadership training programs, workshops, and seminars that enhance skills and foster innovation.

Diversity and Inclusion

At Berkley, diversity is celebrated and actively promoted through various initiatives and diversity training programs. The company believes that a diverse workforce is key to driving creativity and innovation.

Benefits and Culture

Employees at Berkley enjoy a range of benefits designed to support their professional and personal lives. The company culture emphasizes teamwork, respect, and integrity, creating an environment where everyone can thrive.

Applying for a Position

To apply for a position at Berkley, candidates are encouraged to submit a resume that highlights relevant experience and skills. The interview process is designed to assess not only professional qualifications but also a candidate's fit with Berkley's culture and values.

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Learn more about Berkley
Size
51 employees
Industry
Finance & Insurance
* Ladders Estimates

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