Senior Director, Data Science

Terex
South Witham
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Director, London

SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)

Data Scientist, MSAT

Senior Data Analyst - Claims

Senior Business Intelligence Analyst

Senior) Research Manager Remote/Hybrid

Description

:

Title: Sr Director, Data Science

Reports to: VP, IT Platforms and Applications

Location: Northern Ireland (Will consider remote)

Position Overview:

The Senior Director, Data Science is responsible for leading the data science strategy and associated technology initiatives across the enterprise.

This is a great opportunity to play a significant role in digital transformation at Terex by overseeing the architecture of data pipelines and platforms to ensure performance, scalability, and security, and leading the development and deployment of scalable AI models, predictive analytics, and machine learning solutions. The successful candidate will have a strong background in data science, leadership capabilities, and a passion for leveraging data to drive business decisions, improve customer experiences, and enhance operational efficiencies.

Key Responsibilities:

Strategy: Develop and implement the data science strategy in alignment with our digital transformation goals. Identify and prioritize data initiatives that drive innovation and competitive advantage. Stay abreast of industry trends, emerging technologies, and best practices to inform strategic planning.

Leadership: Lead, mentor, and develop teams fostering a culture of collaboration and continuous improvement. Provide direction and support to ensure the successful execution of digital transformation initiatives.

Digital Transformation: Drive digital transformation initiatives by leveraging advanced data science capabilities, machine learning, and AI to optimize business processes and enhance customer experiences.

Advanced Analytics & Data-Driven Insights: Utilize advanced analytics to generate actionable insights, support decision-making, and identify opportunities for business growth. Develop and deploy predictive models to support various business functions.

Data Governance: Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management practices, including data collection, storage, and analysis.

Collaboration: Work closely with cross-functional teams to integrate data science solutions across the organization.

Innovation: Stay abreast of industry trends, emerging technologies, and best practices in data science and digital transformation to continually enhance the organization's capabilities.

Project Management: Drive data science projects from inception to completion, ensuring they meet business objectives and are delivered on time and within budget.

Required Qualifications:

Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.

10+ years of experience in data science, with at least 5 years in a leadership role. Proven track record of driving digital transformation initiatives.

Proficiency in data warehouse platforms (e.g. AWS Redshift), business intelligence platforms (e.g. Qlik), data science tools & programming languages (e.g. Python, SQL).

Experience with AI, machine learning frameworks and integrating large language models into AI-powered applications (e.g. Palantir AIP).

Strong analytical and problem-solving skills. Ability to translate complex data into actionable insights.

Demonstrated leadership abilities with experience managing and mentoring teams.

Excellent verbal and written communication skills. Ability to effectively communicate technical concepts to non-technical stakeholders.

Experience in facilitating change, including collaboration with senior-level stakeholders.

Proven internal and external influencing skills at senior and executive management levels.

Working knowledge of data structures of various ERP, PLM, MES, CRM and eCommerce platforms.

Preferred Qualifications:

Working knowledge and previous use of strategic planning tools and execution, especially in the areas of large-scale change and business process re-engineering.

Experience in a large, complex, industrial B2B or technology company

Why Join Us

We are a global company, and our culture is defined by ourValues— Integrity, Respect, Improvement, Servant Leadership, Courage, and Citizenship. Check out this video!

Safetyis an absolute way of life. We expect all team members to prioritize safety and commit to Zero Harm.

Our top priority is creating aninclusiveenvironment where every team member feels safe, supported, and valued.

We make a positive impact by providing innovative solutions, engaging our people, and operating in asustainableway.

We arecommitted to helping team membersreach their full potential.

Throughinnovationand collaboration, our vision remains forward-looking, and we aim to be a catalyst for change, inspiring others to build a better world for generations.

We offer competitive salaries, Team Member bonus of 25%, private healthcare, car allowance, pension, life assurance, LinkedIn Learning, on site free parking, perks discount card,

For more information on why Terex is a great place to work click on the link!

Travel:

Estimated 30% travel, both domestic and international.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.