Remote Data Science Engineer — AI & Analytics

Gallagher; Rolling Meadows (IL); Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical/dental/vision plans

Life and accident insurance

401(K) and Roth options

HSA/FSA accounts

Educational expense reimbursement

Paid parental leave

Digital mental health services (Talk空间

Flexible work hours

Training programs

Gallagher Thrive program

Charitable matching gift program

Job summary

Gallagher Benefit Services is seeking a data scientist/AI Prompt Engineer to join our Data Analytics team. You will perform statistical analyses, exploratory data analysis, and data research to uncover patterns that drive product and service improvements across our client base.

You should be proficient in SQL, Python, and R, with experience in data visualization and applying ML techniques. This role is remote in the US and involves collaboration with stakeholders to translate data into

Qualifications

• 3+ years of relevant experience.
• Bachelor's degree in statistics, computer science, mathematics, or engineering.
• Strong knowledge of statistics, AI/ML, and data science tools.

Responsibilities

• Perform statistical analyses and exploratory data analysis.
• Run custom SQL queries and data cleansing.
• Identify patterns and trends to inform product and business decisions.
• Provide actionable insights and analytical reports for stakeholders.
• Collaborate with stakeholders and communicate findings clearly.

Skills

Statistics

AI/ML

Python

SQL

R

Data storytelling

Data visualization

Cloud ML

Agile

Stakeholder mgmt

Education

Bachelor's degree in statistics, CS, math, or engineering

Tools

NumPy

Pandas

Power BI

MS Azure ML Studio

MatLab

Job description

Gallagher Benefit Services is seeking a data scientist/AI Prompt Engineer to join our Data Analytics team. You will perform statistical analyses, exploratory data analysis, and data research to uncover patterns that drive product and service improvements across our client base.

You should be proficient in SQL, Python, and R, with experience in data visualization and applying ML techniques. This role is remote in the US and involves collaboration with stakeholders to translate data into