Data Engineer/Scientist at Trimble Inc. in Cambridge, England, United Kingdom | Kablio

Role

Description

data engineering

feature engineering

model deployment

insight extraction

customer segmentation

retention strategy

Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate datasets for customer segmentation, ML model training and evaluation.
Collaborate with product and go-to-market teams to engineer impactful features from raw customer data, developing metrics for tracking engagement and activity facilitating better understanding of customer behavior.
Extract meaningful insights from data and effectively communicate findings to optimize churn prediction models using metrics like AUC and lift.
Design, develop, and program methods, processes, and systems to deploy ML models (e.g., logistic regression, XGBoost) to predict churn risk for SketchUp's diverse customer base.
Generate actionable insights and solutions by translating complex model outputs into business-friendly insights for targeted retention strategies.

Requirements

python

sql

5+ years

data lakes

etl

bachelor's

Strong critical thinking abilities and the capacity to work autonomously.
Proficiency in Python & SQL - other languages a benefit.
Demonstrated passion and aptitude for problem-solving.
Minimum of 5 years of experience in data science, data engineering or a related field, with demonstrated expertise in building, evaluating, and deploying machine learning models for predictive analytics, particularly in areas like churn prediction.
Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools, coupled with strong statistical modeling skills for churn analysis and customer segmentation, including cohort analysis and the use of demographic and firmographic data.
Effective collaboration skills within a team environment.
Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field. Master’s and Ph.D. graduates welcome.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded in 1978

Company Established

Trimble's origins as a provider of high-precision positioning solutions for the GPS market.

Offers integrated solutions across construction, agriculture, and transportation.
Cutting-edge technology streamlines workflows and improves efficiency.
Provides both hardware and software solutions, focusing on automation, geospatial data, and real-time analytics.
Notable projects include smart city infrastructure, autonomous vehicles, and precision farming systems.
Played a key role in developing GPS technology and transforming resource management.
Solutions help achieve higher productivity, safety, and sustainability.

Culture + Values

Create a welcoming environment where everyone can be themselves and grow together.
Encourage intentional growth and humility.
Foster innovation through curiosity and problem-solving.

Environment + Sustainability

1.5°C Alignment

Science-Based Targets

Approved SBTi in 2022 to limit global warming to 1.5 degrees Celsius, in line with the Paris Agreement.

50% Reduction

Scope 1 & 2 Emissions

Target to reduce absolute Scope 1 and 2 greenhouse gas emissions by 50% from a 2019 baseline by 2030.

50% Reduction

Scope 3 Emissions

Aim to cut absolute Scope 3 greenhouse gas emissions by 50% from 2019 levels by 2030, covering fuel, energy, and transportation activities.

100% Renewables

Electricity Source

Commitment to sourcing 100% of electricity from renewable sources annually by 2025.

Operate LEED-gold & silver-certified buildings (Westminster, Colorado) and BREEAM-certified offices (Espoo, Finland) featuring solar panels, rainwater harvesting, EV charging, and heat-pump systems.

Inclusion & Diversity

30%

Female Representation

Percentage of employees globally who are female.

35%

Diverse Hiring

Percentage of new hires in the US in 2022 that were BIPOC.

327 Internship Diversity

Number of interns hired globally in 2023, with over half being women or people of color.

$880K

DEI Philanthropy

Invested in diversity, equity, and inclusion-related initiatives since 2021, toward a $1 million goal by 2025.

Female representation increased by 2.5 percentage points since 2019.

Articles

Trimble Careers — sales engineering & presales roles advice

Experiences with Trimble Business Center (grading & paving)

Rant on Trimble repair costs and right-to-repair issues

Critique of SketchUp subscription model under Trimble

Trimble hiring software developer (June 2024)

Role

Description

data engineering

feature engineering

model deployment

insight extraction

customer segmentation

retention strategy

Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate datasets for customer segmentation, ML model training and evaluation.
Collaborate with product and go-to-market teams to engineer impactful features from raw customer data, developing metrics for tracking engagement and activity facilitating better understanding of customer behavior.
Extract meaningful insights from data and effectively communicate findings to optimize churn prediction models using metrics like AUC and lift.
Design, develop, and program methods, processes, and systems to deploy ML models (e.g., logistic regression, XGBoost) to predict churn risk for SketchUp's diverse customer base.
Generate actionable insights and solutions by translating complex model outputs into business-friendly insights for targeted retention strategies.

Requirements

python

sql

5+ years

data lakes

etl

bachelor's

Strong critical thinking abilities and the capacity to work autonomously.
Proficiency in Python & SQL - other languages a benefit.
Demonstrated passion and aptitude for problem-solving.
Minimum of 5 years of experience in data science, data engineering or a related field, with demonstrated expertise in building, evaluating, and deploying machine learning models for predictive analytics, particularly in areas like churn prediction.
Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools, coupled with strong statistical modeling skills for churn analysis and customer segmentation, including cohort analysis and the use of demographic and firmographic data.
Effective collaboration skills within a team environment.
Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field. Master’s and Ph.D. graduates welcome.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded in 1978

Company Established

Trimble's origins as a provider of high-precision positioning solutions for the GPS market.

Offers integrated solutions across construction, agriculture, and transportation.
Cutting-edge technology streamlines workflows and improves efficiency.
Provides both hardware and software solutions, focusing on automation, geospatial data, and real-time analytics.
Notable projects include smart city infrastructure, autonomous vehicles, and precision farming systems.
Played a key role in developing GPS technology and transforming resource management.
Solutions help achieve higher productivity, safety, and sustainability.

Culture + Values

Create a welcoming environment where everyone can be themselves and grow together.
Encourage intentional growth and humility.
Foster innovation through curiosity and problem-solving.

Environment + Sustainability

1.5°C Alignment

Science-Based Targets

Approved SBTi in 2022 to limit global warming to 1.5 degrees Celsius, in line with the Paris Agreement.

50% Reduction

Scope 1 & 2 Emissions

Target to reduce absolute Scope 1 and 2 greenhouse gas emissions by 50% from a 2019 baseline by 2030.

50% Reduction

Scope 3 Emissions

Aim to cut absolute Scope 3 greenhouse gas emissions by 50% from 2019 levels by 2030, covering fuel, energy, and transportation activities.

100% Renewables

Electricity Source

Commitment to sourcing 100% of electricity from renewable sources annually by 2025.

Operate LEED-gold & silver-certified buildings (Westminster, Colorado) and BREEAM-certified offices (Espoo, Finland) featuring solar panels, rainwater harvesting, EV charging, and heat-pump systems.