AI Engineer in Leatherhead

AI Engineer in Leatherhead

Leatherhead Full-Time 72000 - 88000 £ / year (est.) No working from home possible
ESP Utilities Group

At a Glance

  • Tasks: Analyse data, develop AI solutions, and enhance business efficiency through automation.
  • Company: Join a dynamic multi-utilities business in Leatherhead, Surrey.
  • Benefits: Full training provided, competitive salary, and opportunities for career growth.
  • Other info: Collaborative environment with a focus on continuous improvement and learning.
  • Why this job: Make a real impact with cutting-edge technology and innovative projects.
  • Qualifications: Degree in Computer Science or related field; strong analytical skills required.

The predicted salary is between 72000 - 88000 £ per year.

Based onsite full time in our Leatherhead, Surrey office. We have an exciting opportunity for a bright, passionate, and driven individual to join our successful, dynamic, and reputable multi-utilities business. This role will sit within our Technology team and requires an individual with a high level of competency in data analytics, automation and AI and a proactive approach to problem solving and the confidence to independently learn new technologies. This is a junior role within the team and would suit a recent graduate in Computer Science or similar.

ESP is a business dedicated to continuous improvement and the introduction of this role aligns with our strategy to sustain our leading position within the market. To do this, we need the people, systems and processes in place that enable us to offer an ease of business that secures customer loyalty. This role will be dedicated to identifying opportunities and improvements to enhance our current systems and their ability both through the use of data analytics and artificial intelligence (AI) solutions to identify opportunities, realise efficiency savings, minimise risks and improve customer service. You need to be passionate about making a difference and inspiring technological advancements that make a real impact.

Key Accountabilities

  • The Data & AI Engineer is accountable for using software, artificial intelligence and machine learning to analyse and interpret large amounts of data and support the successful implementation of new technologies and improved system functionality, including automation across ESP.
  • Review and understand business processes and data requirements and specify data analytics and automation solutions.
  • Produce simple to understand management insight using Microsoft Fabric, Power BI and machine learning to analyse large amounts of data to support improved decision making.
  • Implement process automation solutions using Microsoft Copilot Studio, Power platform (and other AI solutions and relevant scripting languages) to help the business to improve business efficiency and customer experience.
  • Maintain and support data platform to ensure data security, integrity and accuracy in all reports and analytics.
  • Maintain and support automation solutions to ensure continued efficient operation, and business process continuity.
  • Continuously improve and optimise existing reports and automation processes.
  • They will be an advocate for Data Analytics and AI within the business and will take a proactive role in ensuring that individuals and teams have the systems and resources in place that will enable ESP to deliver in line with our fast-paced and agile commercial strategy.
  • They must demonstrate effective communication skills with multiple stakeholders at all levels of the business, and ensure there is transparency of project progress, risks, and successes.
  • This individual will produce simple to understand management insight by using technologies including artificial intelligence (AI), to analyse large amounts of data to help improve decision making.
  • They will take responsibility for identifying the training they require to understand and implement technology that supports the delivery of objectives defined for business change projects.
  • They will remain aware of new technologies and capabilities that may be of benefit to ESP and will provide recommendations for continuous improvement opportunities.

Key Responsibilities

  • Analyse and interpret large amounts of data from a range of sources– using technical, analytical and communication skills to collect and examine data to help provide management insight to make better informed decisions and solve problems.
  • Development of automation solutions – understanding business processes and requirements and identifying appropriate solutions to improve business efficiency and customer outcomes through the use of automation and AI.
  • Support and maintain the data platform and automation solutions to ensure the ongoing integrity of the environment and ensure efficient operation of the solutions.
  • Inspire stakeholders to recognise opportunities that are beyond their current understanding – helping break down the barrier of how things are ‘now’ and articulate the future alternatives which would support improved working practices, process enhancements and a greater sense of ease of business for our external stakeholders.
  • Share regular presentations – with audiences at all levels within the business as appropriate to help illustrate project progress, achievements, challenges, and a commitment to departmental/business strategy.
  • Support the system Super User community – reviewing feedback collected via this forum, helping articulate how system development could support any pain points/change requests raised and delivering actions assigned as an output of the work inspired by this community.
  • Hands-on support / participation in system testing – on an as required basis, undertake system testing for new developments and changes thus allowing the opportunity to track back to the original business requirements, testing may sometimes be addressed before handing across to the business for further testing or be carried out alongside the business itself.

Skills Needed:

  • Degree in Computer Science, or a related field (2:1 or above).
  • An aptitude for understanding IT software, systems and highly technical solutions.
  • Advanced knowledge of relevant scripting languages (e.g. Python, R, SQL, Java Script).
  • Experience with Microsoft Power platform, Fabric, Power BI.
  • A passion and ability to learn new technologies, as full training will be provided.
  • Strong analytical and problem-solving skills including experience with data analytics.
  • A positive and innovative approach to problem solving, able to understand and empathise with business users’ issues and problems.
  • Must be collaborative and not confrontational in approach.
  • An ‘eye’ for improvements and realising opportunities for efficiency gains.
  • Confident and professional communication skills including presenting.
  • Solid working knowledge of standard Microsoft products.

AI Engineer in Leatherhead employer: ESP Utilities Group

ESP Utilities is an exceptional employer that prioritises employee development and engagement within a dynamic and customer-focused environment. With a strong commitment to operational excellence, the company fosters a culture of continuous improvement and collaboration, offering ample opportunities for career growth and professional development. Located in a highly regulated industry, employees benefit from a supportive atmosphere that values compliance and high-quality service delivery, making it a rewarding place to work for those passionate about customer fulfilment.

ESP Utilities Group

Contact Details:

ESP Utilities Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in Leatherhead

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ESP Utilities Group!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at ESP Utilities Group.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ESP Utilities Group.

Apply Directly through Our Website

When you find a suitable opening like AI Engineer at ESP Utilities Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Engineer in Leatherhead

Data Analytics
Artificial Intelligence (AI)
Machine Learning
Automation Solutions
Microsoft Power Platform
Microsoft Fabric
Power BI

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at ESP Utilities Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ESP Utilities Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ESP Utilities Group

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ESP Utilities Group!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.