Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Director, Data Science

Terex
Dungannon
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Director of Generative AI - R&D Data Science & Digital Health

Senior Director of Generative AI - R&D Data Science & Digital Health

Senior Director of Generative AI - R&D Data Science & Digital Health

Director, Data Science - Measurement & Optimization

Senior Director, AI and Machine Learning– Evinova

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Description

:

Title: Sr Director, Data Science

Reports to: VP, IT Platforms and Applications

Location: UK

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.