What Jobs are available for Digital Technologies in Stoke on Trent?

• Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
• Develop and implement statistical models and machine learning algorithms to identify trends and patterns.
• Conduct exploratory data analysis to uncover insights and inform business decisions.
• Create compelling data visualisations and dashboards to communicate complex findings effectively.
• Collaborate with cross-functional teams to understand data needs and project requirements.
• Participate in the design and execution of data mining projects.
• Learn and apply various data science tools and techniques, including Python, R, SQL, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Document methodologies, findings, and results clearly and concisely.
• Contribute to the development of predictive models for forecasting and anomaly detection.
• Stay updated with the latest advancements in data science and artificial intelligence.
• Present findings and insights to team members and stakeholders.
• Assist in the testing and validation of analytical models.
• Support the maintenance and improvement of existing data pipelines.
• Engage in team meetings and brainstorming sessions for new project ideas.

• Assist in the collection, cleaning, and preprocessing of large, complex datasets from various sources.
• Develop and implement statistical models and machine learning algorithms for predictive analytics.
• Perform exploratory data analysis to identify trends, patterns, and insights relevant to business objectives.
• Visualize data and model results effectively to communicate findings to technical and non-technical audiences.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science problems.
• Support the deployment and monitoring of predictive models in production environments.
• Stay updated with the latest advancements in data science, machine learning, and statistical modeling techniques.
• Contribute to the development and maintenance of data pipelines and analytical frameworks.
• Document data science methodologies, model details, and findings thoroughly.
• Participate in code reviews and contribute to team best practices.
• Support ad-hoc data analysis requests from various business units.

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication skills, with the ability to explain complex technical concepts clearly.
• Eagerness to learn and a proactive approach to taking on new challenges.
• Ability to work effectively in a collaborative team environment.

• Design, develop, and deploy sophisticated machine learning models for insurance applications such as risk assessment, fraud detection, pricing, and customer segmentation.
• Analyze large, complex datasets from various sources to identify trends, patterns, and actionable insights.
• Collaborate with actuaries, underwriters, claims specialists, and business stakeholders to understand their analytical needs and translate them into data-driven solutions.
• Clean, process, and transform data to ensure its quality and suitability for analysis and modeling.
• Utilize statistical software and programming languages (e.g., Python, R) for data manipulation, analysis, and model building.
• Develop and maintain data visualizations and dashboards to communicate complex findings effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and explore their applicability to the insurance domain.
• Contribute to the development and implementation of data governance best practices.
• Mentor junior data scientists and contribute to the growth of the data science community within the organization.
• Evaluate the performance of deployed models and iterate to improve accuracy and business impact.

• Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a proven track record in the insurance industry.
• Strong expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Experience with SQL and working with relational databases; familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
• Strong understanding of insurance products, operations, and common business challenges.
• Exceptional analytical, problem-solving, and communication skills.
• Ability to work independently in a remote setting, manage multiple projects, and meet deadlines.
• Experience with cloud platforms (AWS, Azure, GCP) is desirable.

• Develop, implement, and maintain advanced statistical and machine learning models for insurance applications (e.g., pricing, underwriting, fraud detection, customer segmentation).
• Analyse large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
• Collaborate with actuaries, underwriters, claims handlers, and product managers to understand business needs and translate them into data science problems.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Design and execute A/B tests and other experiments to evaluate model performance and business impact.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Develop and deploy robust data pipelines and analytical frameworks.
• Mentor junior data scientists and contribute to building a data-driven culture.
• Ensure data quality, integrity, and ethical use of data in all analyses.
• Contribute to the strategic direction of data science initiatives within the company.

• A Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
• Minimum of 7 years of experience in data science or a related analytical role, with a significant focus on applying ML/AI techniques.
• Proven experience in the insurance industry, with a strong understanding of insurance data and business processes.
• Expertise in programming languages commonly used in data science (e.g., Python, R) and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in SQL and experience working with large datasets and databases.
• Strong understanding of statistical modelling, machine learning algorithms, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Ability to work independently and collaboratively in a remote environment.

This is a pivotal role that blends commercial strategy, digital innovation, analytics, and cross-functional collaboration to drive online parts sales. While the core platform is managed externally by Caterpillar, you will play a key role in influencing its performance through digital insights, platform optimisation, internal feedback, and stakeholder engagement.

This is a strategic role with hands-on execution responsibilities, focused on driving online sales, customer adoption, and digital transformation across our aftermarket parts business.

eCommerce Sales Growth & Management

• Drive online sales of aftermarket parts and services through PCC.

• Develop and execute commercial plans to meet digital sales and self-service targets.

• Optimise the online product range and customer experience across platforms.

• Collaborate with internal teams and Caterpillar to identify and exploit sales opportunities.

• Increase connected asset subscriptions and manage the digital sales pipeline.

Digital Strategy & Execution

• Lead go-to-market planning for new and existing digital tools and applications.

• Coordinate product training and support to drive adoption and usage.

• Act as a key advocate for platform enhancements, using customer and dealer feedback to influence future development.

• Support seamless onboarding experiences for equipment sales.

• Manage Integrated Procurement and PO automation projects.

Team Leadership & Development

• Lead and develop a team of Digital Experience Sales Specialists.

• Set clear objectives, provide coaching, and foster a high-performance culture.

• Deliver internal and customer-facing training and solution demos.

Performance Analysis & Optimization

• Own all analytics functions: GA4 setup, GTM tagging, and dashboard creation in Looker Studio.

• Develop dashboards and reports to track KPIs and drive continuous improvement.

• Analyse customer behaviour and sales data to identify trends and opportunities.

• Diagnose friction points in the user journey and implement conversion optimisation tactics.

Stakeholder Engagement & Collaboration

• Act as the primary liaison with Caterpillar’s e-commerce team.

• Work closely with Finning Sales, Marketing, and Aftermarket teams to ensure strategic alignment.

• Lead development of tutorials, case studies, and promotional content to support adoption.

Knowledge, Skills & Experience:

• Minimum 3–5 years in eCommerce or digital sales roles.

• Proven experience in B2B eCommerce, multichannel sales, and digital marketing.

• Strong understanding of procurement processes and digital application commercialisation.

• Demonstrated success in developing and executing go-to-market strategies.

• Experience managing online product ranges, merchandising, and digital platforms.

• Commercial accountability for sales targets, retention, and KPIs.

• Strong communication, stakeholder management, and analytical skills.

• Experience with CRM systems, NPS, and customer experience optimisation.

• Bachelor’s degree in Business, Marketing, eCommerce, or related field.

• Attention to detail and ability to manage multiple priorities.

What we offer:
In addition to a competitive salary, bonus, 25 days holiday, life insurance, and up to 7% pension, you will benefit from:

• A comprehensive benefits package

• A supportive and collaborative work environment

• Opportunities for professional growth and development

• The chance to shape the future of digital customer experience in a high-impact industry

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do not discriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities. Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter. Finning is a forces-friendly employer having signed the Armed Forces Covenant, and pledges to treat those who serve or have served in the armed forces, and their families fairly.

• Advise clients on digital strategy and transformation initiatives.
• Conduct business process analysis and identify opportunities for digital enhancement.
• Develop and present comprehensive digital transformation roadmaps and business cases.
• Guide clients through the implementation of new technologies and digital solutions.
• Manage change management processes to ensure successful adoption of digital tools.
• Collaborate with clients' IT and business units to align strategies.
• Lead project teams, ensuring deliverables are met on time and within scope.
• Facilitate workshops and training sessions for client stakeholders.
• Stay abreast of emerging digital technologies and industry best practices.
• Build and maintain strong client relationships at all levels.

• Bachelor's or Master's degree in Business, Technology, Engineering, or a related field.
• Minimum of 5-7 years of experience in management consulting, with a specialization in digital transformation.
• Proven experience in advising organizations on digital strategy, implementation, and change management.
• Strong understanding of key digital technologies (AI, data analytics, cloud, IoT, etc.).
• Excellent analytical, problem-solving, and strategic thinking skills.
• Exceptional presentation, communication, and interpersonal skills.
• Demonstrated ability to lead project teams and manage client relationships.
• Experience with agile methodologies and project management frameworks is a plus.
• Willingness to travel as required by client engagements.

• Advise clients on digital strategy and transformation initiatives.
• Analyze client business processes and identify opportunities for digital enhancement.
• Design and oversee the implementation of digital solutions.
• Manage stakeholder expectations and ensure effective communication throughout projects.
• Conduct workshops and training sessions on digital best practices.
• Evaluate emerging technologies and their potential impact on client businesses.
• Collaborate with internal and external teams to achieve project objectives.

• Bachelor's degree in Computer Science, Engineering, Business, or a related field.
• Proven experience in digital transformation projects or consulting.
• In-depth knowledge of current digital technologies and trends.
• Strong project management and organizational skills.
• Excellent analytical and strategic thinking abilities.
• Superior communication and presentation skills, with the ability to influence stakeholders.
• Demonstrated ability to work effectively in a client-facing role.
• Experience with change management principles.

• Develop and implement a strategic vision for digital transformation and operational excellence, aligning with overall business objectives.
• Lead the design and execution of programmes to digitise core business processes, improve operational workflows, and enhance customer experience.
• Oversee the selection, implementation, and management of new technologies, software, and digital tools.
• Manage cross-functional teams, including IT, operations, project management, and business analysis, to ensure successful project delivery.
• Establish key performance indicators (KPIs) for operational efficiency and digital adoption, monitoring progress and reporting to senior leadership.
• Drive a culture of data-driven decision-making and continuous improvement across the organisation.
• Identify opportunities for automation and optimisation to reduce costs and improve productivity.
• Manage vendor relationships and negotiate contracts for technology solutions and services.
• Ensure robust cybersecurity measures and data privacy compliance are in place.
• Mentor and develop a high-performing team, fostering talent and promoting professional growth.
• Stay abreast of emerging digital trends and technologies, identifying opportunities for competitive advantage.
• Facilitate effective communication and collaboration among remote teams and stakeholders.

• Master's degree in Business Administration, Operations Management, Information Technology, or a related field.
• Extensive experience (10+ years) in senior operational leadership roles, with a proven track record of successfully leading large-scale digital transformation initiatives.
• Deep understanding of digital technologies, process automation, data analytics, and enterprise software solutions.
• Demonstrated experience in strategic planning, business process re-engineering, and change management.
• Exceptional leadership, communication, and interpersonal skills, with the ability to inspire and influence stakeholders at all levels.
• Strong financial acumen and experience managing significant operational budgets.
• Proficiency in project management methodologies (e.g., Agile, Waterfall).
• Ability to thrive in a fast-paced, remote work environment, demonstrating strong self-discipline and organisational skills.
• Experience in (mention specific industry relevance, e.g., SaaS, manufacturing, logistics) is a significant advantage.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and ERP systems.