Data Scientist

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Salary/Grade: £46,000 - £56,000 per annum

Benefits:

• 25 days annual leave
• Up to 10% bonus
• Contributory pension scheme - Caterpillar will double the employee's contribution up to 10%
• Contributory share scheme - Caterpillar will match 50% of the employee's contribution.
• Optional flexible benefits including access to health and dental care plans, EV car lease, holiday purchase.
• Flexible working arrangements will be considered for this role, in-line with the needs of the business.

About E+ES

Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.

Caterpillar’s Electrification & Energy Solutions (E+ES) Division will focus on delivering advanced electrified power train, zero-emissions products/technologies, and the solutions and services associated with these technologies. Focus areas include batteries, fuel cells, motors, inverters, micro grid controllers, charging, energy storage systems, lifecycle solutions/services and integration of components for ePowertrain solutions across industries.

We are looking for top talent to build and scale the next generation of technologies, products and services to help our customers build a better—more sustainable—world. We need self-motivated, intelligent and team-oriented individuals to make our plans a reality. Individuals with high emotional intelligence, humility and openness to discovery will thrive in the teams we are building.

The opportunity:

As a Data Scientist, you will be an integral part of our dedicated analytics team, contributing to the development and deployment of innovative business solutions. You will support electrification and enhance understanding of machine and battery performance with respect to customer requirements. This will involve developing mathematical algorithms, coding solutions and analysing results to provide insight to the wider business.

Our mission is to support our customers in the energy transition by delivering high-performance and technologically advanced electric vehicles and solutions. Extracting insights from complex datasets, you will influence high level decisions and be part of a team to drive the future of machine power solutions through innovative data analysis. This is a collaborative role, working closely with multiple cross-functional teams across Caterpillar.

What you will do:

• Collaborate with cross-functional teams to collect, preprocess, and analyse complex data sets related to vehicle electrification, including battery performance, charging infrastructure, and energy consumption.
• Predict and improve battery health, degradation, and lifespan through data analysis.
• Work with team members to develop predictive models for customer behaviours, charging patterns, and energy consumption to optimise vehicle electrification strategies.
• Develop your understanding of battery electrification, machine analysis and data science techniques by conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analysis.

What you have:

Programming languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge:

• Experience of Python programming and relevant libraries (NumPy, Pandas).
• Knowledge of HTML and Javascript.

Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.

Level Working Knowledge:

• Experience with SQL and database technologies such as Snowflake
• Defines, creates and tests simple queries by using associated command language in a specific environment.
• Applies appropriate query tools used to connect to the data warehouse.

Accuracy and attention to detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.

Level Extensive Experience:

• Evaluates and makes contributions to best practices.
• Processes large quantities of detailed information with high levels of accuracy.
• Productively balances speed and accuracy.

Analytical thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.

Level Working Knowledge:

Strong background in numerical techniques and statistical analysis. Excellent problem-solving skills, analytical thinking, and the desire to learn and continuously improve. Approaches a situation or problem by defining the problem or issue and determining its significance.

Top candidates will also have:

• Proven experience as a Data Scientist in a technical industry, with a focus on vehicle electrification.
• Familiarity with tools such as Jupyter Notebooks and data visualization techniques..
• The ability to convey technical concepts to both technical and non-technical stakeholders.
• A strong drive for innovation and a passion for sustainability and environmental consciousness.
• Degree in Computer Science, Engineering, Data Science, or a related field.

Additional information:

• Minimal international travel required for business meetings.

NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined. Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting. #LI-HYBRID