AI/ML Senior Analyst

Landis+Gyr is a leading global provider of integrated energy management solutions. We measure and analyze energy utilization to generate empowering analytics for smart grid and infrastructure management, enabling utilities and consumers to reduce energy consumption. Our innovative and proven portfolio of software, services and intelligent sensor technology is a key driver to decarbonize the grid. With sales of USD 1.7 billion in FY 2022, Landis+Gyr employs over 7,000 talented people across 30 countries and five continents.

For more than a century, we’ve been pioneers in energy innovation, and we continue to lead the way toward a more sustainable and efficient energy landscape.

Join us at Landis+Gyr, where we manage energy better – since 1896.

Key Responsibilities:

• Translate and develop targeted customer product solutions to improve our delivery and services capabilities.
• Defining AI-ML business requirements and developing actionable learning plans.
• Synthesizing data, evaluating performance, and interpreting qualitative and quantitative analyses, be able to explain solutions to customers with the assistance of the coordinator.
• Develop and implement AI solutions to optimize business processes.
• Collaborate with cross-functional teams to identify opportunities for AI integration.
• Conduct data analysis to identify patterns, trends, and insights.
• Develop predictive models and apply machine learning algorithms to generate actionable recommendations.
• Evaluate and monitor AI models’ performance and make recommendations for improvement.
• Collaborate with IT teams to ensure seamless integration and implementation of AI solutions.
• Stay up to date with the latest AI trends and technologies.
• Conducts feasibility studies for evaluating AI solutions for cost and expected benefits.
• Work on process design (including scenario design and defining support procedures, in collaboration with the ML/AI Coordinator and leadership.

Knowledge, Skills, And Abilities:

• Strong knowledge of AI technologies, machine learning algorithms, and statistical modeling.
• Proficient in programming languages such as Python or R.
• Experience with cloud platforms and big data analytics tools is preferred.
• Thorough understanding of business fundamentals – roles of various departments in the organization: marketing, sales, manufacturing, business management, OT service delivery, and engineering.
• Proven critical thinking and analytical skills.
• Deep understanding of marketing concepts/market research.
• Superior computer skills including AI-ML fundamentals.

Accountabilities:

• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Ability to handle and analyze complex data sets.
• Attention to detail and ability to work in a fast-paced environment.
• Strong organizational and time management skills.
• Ability to facilitate groups and/or teams.
• Effective written and verbal communication skills, including experience in public speaking.
• Organizational skills including prioritization, project management, and resource deployment.
• Ability to influence individuals and organizations not under a direct reporting relationship.

Education And Experience:

• This role requires a strong aptitude in analytics, data management, and problem-solving. The ideal candidate will have a minimum bachelor’s degree in computer science/engineering, expertise in ML/AI, and statistical methods, as well as 3 to 5 years of success in business analysis. Excellent communication and collaboration skills are a must.
• Experience with cloud environments (preferably Google Cloud Platform)

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as a complete list of all responsibilities, duties, and skills required of personnel classified as such.

Landis+Gyr is a global leader in energy management solutions, operating in over 30 countries and headquartered in Switzerland. We are thrilled that you’ve considered Landis+Gyr to be a part of your professional journey. As a part of the L+G family, employees are offered a comprehensive and competitive package of benefits including medical, dental, and vision coverage, life insurance, and a 401(k) retirement plan featuring a generous company match incentive. Additionally, we offer three (3) weeks of Paid Time Off (PTO) as well as eleven (11) paid holidays. We also offer a tuition reimbursement program, optional pet insurance, supplemental medical coverage and a host of other perks to ensure the health, wellness, and enrichment of our team members.

Pay is in the range of $106,152 – $169,024 per year. The position is eligible for a 401(k) match and consideration for an annual bonus. The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, and certifications or other professional licenses held. All candidates are encouraged to apply.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

As a part of the Landis+Gyr family, employees are offered a comprehensive and competitive package of benefits including medical, dental and vision coverage, life insurance, and a 401(k)-retirement plan featuring a generous company match incentive.  Additionally, we offer three (3) weeks of Paid Time Off (PTO) as well as eleven (11) paid holidays.  We also offer a tuition reimbursement program, optional pet insurance, supplemental medical coverage and a host of other perks to ensure the health, wellness, and enrichment of our team members.

Pay is in the range of $106,152 – $169,024 per year. The position is eligible for a 401(k) match and consideration for an annual bonus. The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, and certifications or other professional licenses held.  All candidates are encouraged to apply.