Lead Data Science & Modeling Engineer

Booz Allen Hamilton; United Kingdom; On-site; GBP 74,000 - 169,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid parental leave

Tuition assistance

Professional development

Job summary

Booz Allen Hamilton is seeking a Modeling & Simulation Engineer in the United Kingdom with extensive data science experience. You will harness data exploration, ML techniques, and NLP to turn complex datasets into actionable answers for clients across sectors.

You will lead algorithm development and mentor teammates, delivering solutions that influence decision-making and outcomes. The role emphasizes leadership, collaboration with clients, and applying advanced analytics to real-world problems

Qualifications

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 5+ years of experience with statistical and general-purpose programming languages for data analysis.
• 5+ years of experience analyzing structured and unstructured data sources.

Responsibilities

• Lead development of predictive data models and quantitative analyses.
• Develop algorithms and systems to derive actionable insights for clients.
• Collaborate with clients to understand questions and design data-driven solutions.
• Guide teams in deploying data science methods to real-world challenges.

Skills

Data exploration

Data cleaning

Data analysis

Data visualization

Statistical analysis

NLP / ML techniques

Leadership

Secret clearance

Bachelor’s degree awareness

Education

Bachelor’s degree

Tools

R

Python

SQL/NoSQL

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Job description

Booz Allen Hamilton is seeking a Modeling & Simulation Engineer in the United Kingdom with extensive data science experience. You will harness data exploration, ML techniques, and NLP to turn complex datasets into actionable answers for clients across sectors.

You will lead algorithm development and mentor teammates, delivering solutions that influence decision-making and outcomes. The role emphasizes leadership, collaboration with clients, and applying advanced analytics to real-world problems