Total 23 Finance Analyst job vacancies in Maintenance / Repair category in The United States of America

BROAD JOB FUNCTIONS

• Leading site services programs including Food & Beverage (F&B) , Transportation and Janitorial management
• managing relationships with vendors responsible for these outsourced services
• Maintains the program to ensure compliance with internal and external regulations such as fire, EHS, ISO, food safety regulations
• Support customer requirement and improve customer satisfaction

Regular

Cafeteria Operation and Management

• Oversees the operations of the cafeteria including ordering, inventory, meal planning, food preparation and services.
• Ensure compliance with internal and external regulations such as fire, EHS, ISO and food safety
• Monitors the preparation, serving and storage of food to ensure compliance with health standards
• Assures cleanliness of cafeteria and maintenance of equipment and food service supplies.
• Handle customer complaints and resolve issues related to food quality.
• Ensure all safety and environmental incidents are addressed & reported promptly
• Keep detailed administrative records regarding license, meal plans, costs and hours worked.
• Take inventory, order food and beverage supply and check the quality and quantity of orders received.
• Participates in the preparation and administration of assigned budget and monitors expenditures
• Handle receipts and claims with caterer.

 

Employee Transport Management

• Provide transport services to employees who commute to/from work and interplant.
• Plan and work with service provider to optimize the travel routes
• Manage contractor service levels and performance ensuring a safe transport service.
• Ensure compliance with internal and external regulations such as fire, EHS, ISO and road transport safety
• Handle customer complaints and resolve issues related to transportation.

 

Janitorial Management

• Oversight and supervision of the daily cleaning operations to meet level of quality standards.
• Establish and define cleaning protocols, KPI’s, routines to meet the set standards
• Routinely inspect properties and monitor work performance; quickly correct deficiencies.
• Collaborate and communicate with third-party cleaning vendor management and staff.
• Assist with screening, selecting and training new cleaning employees and contractors.
• Assess, assign and respond to work requests and special projects

 

Irregular

• Assist with the HR promotion or company initiatives
• Liaison with government departments ex. Labor, Immigration, MPPP

 

Senior Safety Analyst - SafeWork NSW Major Hazard Facilities
     Grade : DPO Grade 8
     Salary range:  $159,878 - $161,663 superannuation and leave loading
     Duration :  Ongoing (permanent full time)
     Location :  Parramatta
     Applications Close: Monday 6th May 2024 (9:59AM)
About the team
The Major Hazard Facilities (MHF) Team is the whole of government taskforce responsible for preventing, responding to and recovering from incidents at sites where large quantities of hazardous chemicals are present. The MHF team is responsible for administering the WHS legislation (particularly WHS Regulations 2017, Chapter 9 and Schedule 15) and the Explosives legislation. The team is responsible for assessing, reviewing, and verifying MHF licenced or determined facilities / sites and provides technical expertise and guidance to help improve Work Health and Safety (WHS) compliance within the industry.
About the role ... Click here to view more detail / apply for Senior Safety Analyst ? Major Hazard Facilities

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Sydney Applications close 18 April About the Department The Department of Industry, Science and Resources and our broader portfolio are integral to the Australian Government’s economic agenda. Our purpose is to help the government build a better future for all Australians through enabling a productive, resilient and sustainable economy, enriched by science and technology. We do this by: Growing innovative & competitive businesses, industries and regions Investing in science and technology Strengthening the resources sector. The APS and the department offer a clear direction and meaningful work. You will be able to create positive impact in people’s lives whilst contributing to improved outcomes for Australia and our people. If you would like to feel a strong connection to your work and you are accountable, committed and open to change, join us in shaping Australia’s future. Please see the APSC’s APS Employee Value Proposition for more information on the benefits and value of employment within the…

Click here to view more detail / apply for Senior Instrument Analyst, Executive Level 1, National Measurement Institute

Sydney Applications close 18 April About the Department The Department of Industry, Science and Resources and our broader portfolio are integral to the Australian Government’s economic agenda. Our purpose is to help the government build a better future for all Australians through enabling a productive, resilient and sustainable economy, enriched by science and technology. We do this by: Growing innovative & competitive businesses, industries and regions Investing in science and technology Strengthening the resources sector. The APS and the department offer a clear direction and meaningful work. You will be able to create positive impact in people’s lives whilst contributing to improved outcomes for Australia and our people. If you would like to feel a strong connection to your work and you are accountable, committed and open to change, join us in shaping Australia’s future. Please see the APSC’s APS Employee Value Proposition for more information on the benefits and value of employment within the…

Click here to view more detail / apply for Senior Instrument Analyst, Executive Level 1, National Measurement Institute

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Benefits:

• Competitive salary and performance-based incentives.
• Dynamic and collaborative working environment.
• Comprehensive benefits package, including healthcare.
• Continuous learning and professional growth opportunities.

Assistant Manager, Leasing & Maintenance

About The Company

Sing Investments & Finance Limited (SIF) has more than 50 years of lending experience in the financing arena in Singapore. Our core activities include the acceptance of fixed and saving deposits from the public as well as the provision of loans and credit facilities to individuals and corporations, particularly the Small and Medium Enterprises (SMEs) in Singapore. The relationships that have been built over the years have earned us the reputation as one of Singapore's trusted finance companies. We are seeking dynamic individuals to grow with us and to continue building relationships with our valued customers.

We are looking to recruit an experienced and motivated Assistant Manager, Leasing & Maintenance based in our Head Office in the CBD.

General Job Scope:

• Schedule and commence periodic maintenance of assigned Facilities and utilities systems but not limited to electrical, building/carpark maintenance, fire alarm system, security, cleaning and pest control, to ensure a safe and reliable business environment
• Ensure audit readiness by complying with effective standards, regulatory/statutory requirements
• Achieve financial objectives by managing allocated budget; recommend and initiate cost improvement measures
• Maintain close and regular liaison with tenants to ensure satisfaction with all aspects of Tenancy Management and Leasing
• Source and secure suitable tenants to maximize yield
• Handle all lease documentation, rent review and other service contracts negotiations
• Other duties as assigned by Management

Required Qualification, Skills and Attributes:

• Degree / Diploma in Real Estate or related field
• Minimum 2 years’ relevant experience in a similar capacity in leasing and maintenance
• Sound understanding of the real estate industry
• Strong interpersonal, communication and negotiation skills
• Attention to detail and task oriented

Only shortlisted candidates will be notified.

Remuneration and corporate rank will commensurate with experience.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Benefits:

• Competitive salary and performance-based incentives.
• Dynamic and collaborative working environment.
• Comprehensive benefits package, including healthcare.
• Continuous learning and professional growth opportunities.

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for “Find Jobs for Students”.

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). To view the job posting closing date please return to the search for jobs page.

If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.
 

Type of Position:

Professional Staff - Project/Program Administration

Job Type:

RegularDay Shift (United States of America)No

Institution Name:

University of Arkansas for Medical Sciences

The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans.
 

UAMS offers amazing benefits and perks (available for benefits eligible positions only):

• Health: Medical, Dental and Vision plans available for qualifying staff and family
• Holiday, Vacation and Sick Leave
• Education discount for staff and dependents (undergraduate only)
• Retirement: Up to 10% matched contribution from UAMS
• Basic Life Insurance up to $50,000
• Career Training and Educational Opportunities
• Merchant Discounts
• Concierge prescription delivery on the main campus when using UAMS pharmacy

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the position, please click the Apply link/button.

The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

At UAMS we value Diversity, Equity and Inclusion.
 

For general application assistance or if you have questions about a job posting, please contact Human Resources at askrecruitment@uams.edu.

Department:

FIN | CORE RI Revenue Integrity CDM

Department's Website:

Summary of Job Duties:

The Charge Master Analyst is a technical expert relative to the Charge Description Master (CDM), ensuring that the charging practices are current, compliant and accurate to capture appropriate revenue on an ongoing basis. This position partners with the Revenue Integrity Manager and leads the Charge Master Committee to meet compliance, pricing, and reimbursement regulations as well as facilitate formal review of all CDM additions, changes, and deletions.

Qualifications:

Minimum Qualifications:

• Bachelor’s degree in Business, Accounting, Health Administration or related field plus four (4) years of experience working in hospital/physician revenue cycle OR Associate's degree in Business, Accounting, Health Administration or related field plus six (6) years of experience working in hospital/physician revenue cycle, at least two of those years must be working directly with the charge description master OR High School diploma/GED with eight (8) years of experience working in hospital/physician revenue cycle, at least two of those years must be working directly with the charge description master
• Experience in Microsoft programs with intermediate proficiency: Outlook, Word, Excel and Access
• Ability to pay close attention to detail with a high degree of accuracy
• Must possess critical thinking skills and the ability to analyze processes

Preferred Qualifications:

• CPC Certification

Additional Information:

Responsibilities:

• Maintains the charge master in accordance with the organization’s Charge Description Master Policy by incorporating new charges/services identified by departments, third-party changes, special requirements, coding updates and applicable laws and regulatory requirements.
•  Maintains an audit trail of charge master changes, communicates these changes to the departments that will be impacted.
• Evaluates departmental CDM requests to ensure that all additions, changes, and deletions are consistent with proper change and coding practices.
•  Serves as the liaison with Epic IT staff to ensure changes are accurate and completed in a timely manner.
•  Serves as the principal point of contact for charging issues.
•  Leads twice weekly conference calls with Charge Master Committee to approve new procedures.
• Responsible for coordinating the monthly Charge Master Committee meeting. This involves formulating an agenda and completing the meeting minutes.
• Responsible for maintaining and merging Epic CDM data into the Craneware Chargemaster Toolkit product (3 party software).
•  Responsible for maintaining and updating an Access database of the Epic CDM information each month.
•  Reports Epic charge-related issues for resolution.
•  Must understand the Epic charging workflows for each clinical department in order to effectively audit and troubleshoot charging issues.
•  Conducts reviews of charging workflows to identify and optimize charging.
•  Works closely with clinical departments, hospital and Physician billing, corporate compliance, health information management/coding, managed care contracting and information technology.
•  Reviews and summarizes Medicare, Medicaid and Payer notifications.
•  Performs other duties as assigned.

Salary Information:

Commensurate with education and experience

Required Documents to Apply:

List of three Professional References (name, email, business title), ResumeProof of Veteran Status

Special Instructions to Applicants:

Please contact askrecruitment@uams.edu for any recruiting related questions.

All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS  

Please do not send to listed recruitment contact.

Pre-employment Screening Requirements:

Criminal Background Check

This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity.  The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law. 

Constant Physical Activity:

Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Talking

Frequent Physical Activity:

Stooping

Occasional Physical Activity:

Standing, Walking

Benefits Eligible:

Yes

Facilities Project Management Information System Analyst

Key Role:

Lead the development of client facilities and infrastructure project management information systems throughout the design and construction life cycle via creative approaches which achieve preferred functional end-states. Lead analyses and solution development for key facility planning and management engagement modules, including assuring system developers under requirements. Perform more complex activities as related to the control and management of cost, schedule, risk, and resource optimization. Develop innovative solutions based on advanced principles within the facilities industry. Apply advanced consulting skills, extensive technical expertise, and knowledge of the U.S. Government, including military Services, U.S. Air Force, and Army Corps of Engineers. Lead the team in developing innovative solutions to complex problems. Work without considerable direction and supervise team members.

Basic Qualifications:

• 5+ years of experience providing dedicated support to the USAF
• 2+ years of experience with industry tools for facilities and infrastructure design and construction project management tools
• Experience working with software development teams, software applications, or data management systems
• Knowledge of U.S. military facility and infrastructure design, and construction processes and procedures
• Ability to use software products, including Microsoft Office such as Excel and Outlook, Power Query, and information systems
• Ability to develop a long-term strategic communication plan
• Ability to work with external stakeholder groups and present to senior ranking officials confidently
• Ability to support V&V efforts for software development teams
• Secret clearance
• Bachelor's degree

Additional Qualifications:

• Experience with USAF PM tools, including ACES or NexGen
• Experience with TFS, Jira, or Confluence
• Experience coordinating with Public Affairs offices to draft responses to media queries
• Experience presenting to official audiences and representing clients at various events, including meetings, conferences, and seminars
• Ability to comprehend, summarize, communicate, and document technical requirements and issues succinctly
• Ability to work quickly, efficiently, and accurately in a dynamic and fluid environment
• Ability to work independently while consulting with senior personnel on difficult matters
• Possession of excellent verbal and written communication skills, including editing
• Top Secret clearance
• Master’s degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Create Your Career:

Grow With Us

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

A Place Where You Belong

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.

Support Your Well-Being

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.

Your Candidate Journey

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $65,300.00 to $149,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

· Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.

· Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.

· Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.

· Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.

· Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

· Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.

· Experience: 5+ years of experience in machine learning.

· Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.

· Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.

· Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.

· Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

Experience with time-series analysis and forecasting.

Familiarity with cloud computing platforms like AWS, Azure, etc.

Knowledge of financial industry and working with big data.

Benefits:

Competitive salary and performance-based incentives.

Dynamic and collaborative working environment.

Comprehensive benefits package, including healthcare.

Continuous learning and professional growth opportunities.

Job Decription

• Perform sample analysis accurately in accordance to the specified standard methods
• Prepare chemical stock solutions and reagents
• Standardize reagent/equipment when necessary
• Review the results and retest when it is suspect
• Upkeep the cleanliness of work areas, apparatus and equipment
• Perform any tasks as assigned by team leader or supervisor

Job Requirements

• Candidate must possess at least Diploma/Advanced/Higher/ Graduate Diploma In Chemistry or equivalent
• At least 2 Year(s) of working experience in Petroleum Testing is required for this position.
• Experienced lab technician specialized in Petroleum Laboratory
• Well spoken English and communication skills
• Computer Literate
• Should be able to work in 12 Hour Shifts
• Able to work during Weekends & Public Holidays

Have an opportunity to earn up to S$5000 per month

You will lead projects in the design, development and implementation of analytical models through strategic use of data asset for delivering efficient and effective healthcare. You will be the subject matter expert for one of the following areas: Natural Language Processing (NLP), Graph Analytics, Operation Optimization, Genomics Analytics, Blockchain for healthcare or any emerging areas that can transform the data landscape in healthcare.

You will collaborate with clinicians and end users to conceptualise solutions that address the organisation’s challenges with appropriate data and techniques in Data Science, Machine Learning and Artificial Intelligence. You will drive the framing and scope the business problem for various domains across Clinical services, Finance and Operations together with key stakeholders. You will lead the implementation of end-to-end Data and Machine Learning Operations pipeline through best practices in validation and test-driven development, continuous deployment, model monitoring and continuous re-training/integration in order to benefit and make an impact to users. You will also spearhead and conduct feasibility studies on machine learning technology stacks that will benefit and impact Singhealth, as well as facilitate regular key management meetings and reporting.

Job Requirements

• Master’s or Bachelor’s Degree in Computer Science, Applied Mathematics, Statistics, Operations Research, Engineering, Data Science, Artificial Intelligence, Knowledge Engineering or related quantitative disciplines. Doctorate Degree is an advantage.
• Preferably 10 years of hands-on experience (including postgraduate research) in data mining, machine learning modelling (computer vision, natural language processing, regression, time-series etc.) and optimization.
• Provide deep expertise and advisory in development of applications/projects using NLP methods to extract relevant data from unstructured/semi-structured dataset.
• Possess in-depth experience in applied machine learning methodology which includes Exploratory Data Analysis, data cleaning and preparation, model training and hyper parameter tuning, model selection and model deployment.
• Proficient in data science and programming languages such as Python, R, Scala, machine learning and NLP frameworks such as sklearn, tensorflow, Pytorch, spacy, HuggingFace, etc.
• Knowledgeable in SQL, Hadoop/Spark, Graph Database and related databases.
• Strong analytical and quantitative solving ability with excellent communication and leadership skills.
• Meticulous and able to work independently effectively.
• Prior experience in healthcare is an advantage.
• Must be fully vaccinated against COVID-19

As a Pricing Analyst at Sodexo, working remotely, you will take the lead in preparing and accurately pricing all elements of IFM bids.

Preferably you will have an area of subject matter expertise delivering the technical element of FM modelling.

Joining an experienced and established team you will have the autonomy to oversee and deliver the end-to-end process for a wide range of IFM bids.

This is a fantastic opportunity for someone to showcase their Facilities Management and Finance skills and experience in the Private Sector market place throughout UK&I.

To be considered for this role you must have an established background within facilities management pricing and working with large amounts of data.

Through this role and the wider work you will play an active part in, you will gain exposure across the business, whilst collaborating with a diverse range of industry experts.

This role will report into the Head of Finance and will be a 2ic to this role.

Becoming part of Sodexo will enable you to act with purpose and thrive in your own way. Our commitment to purposeful growth empowers you to make a significant impact on the world around you.

What you’ll do:

• Work with Business Development Managers & Directors to influence bid strategy on complex/must win bids. Supports and reviews output from simple and medium complexity bids.
• Takes the lead in preparing and accurately pricing all elements of IFM bids,
• Ability to identify risks and opportunities throughout the bid process.
• Demonstrates numeracy via appropriate use of a variety of statistical analysis techniques.
• Demonstrates an ability to complete complex customer return formats
• Manages the pricing team and demonstrates an ability to develop their skills/outputs
• Challenge the subject matter experts in their solution and assumption modelling
• Bring to the business innovative and creative thinking when it comes to designing compelling sustainable bid solutions

What you bring:

• Can manage own workload and those of others on a bid, plus that of an estimating team
• Can confidently communicate complex bids and concepts to non-finance team members(e.g. commercial models, assumptions, risks and opportunities ) verbally, in writing and using visual presentations
• Is an active member of the Pricing & Sales Team and develops good working relationships with SME's and Service Operations and with customers and Senior Management
• Demonstrates commitment by working flexibly (travel and extra hours) as required and leads the team to maximise overall output
• Demonstrates an ability to produce the required output, on time and to the appropriate accuracy and clarity
• Leads the process of change
• Understands customer requirements by working with the customer on bids and knows what's typical for different market sectors
• Leads meetings and develops the skills of others to manage meetings
• Ensures clarity and develops the skills of others to do the same, takes a leading role in improving our models and/or presentation methods
• Experience of integrated facilities management delivery or pricing
• Can challenge with humility to drive our thinking

What we offer:

You will be rewarded with an excellent salary, a market leading commission scheme and progressive rewards and benefits. You will work within a high performing team who are creative, entrepreneurial in spirit and who live by common values

Working with Sodexo is more than a job; it’s a chance to be part of something greater. You’ll belong in a company and team that values you for you; you’ll act with purpose and have an impact through your everyday actions; and you’ll be able to thrive in your own way.

In addition, we offer:

• Flexible and dynamic work environment
• Competitive compensation
• Access to ongoing training and development programs
• Countless opportunities to grow within the company

About Sodexo

At Sodexo, our purpose is to create a better everyday for everyone to build a better life for all. As the global leader in services that improve the Quality of Life, we operate in 55 countries, serving over 100 million consumers each day through our unique combination of On-Site Food and FM Services, Benefits & Rewards Services and Personal & Home Services.

This role will require applicants to undergo screening appropriate to the post, including checks with past employers and the Disclosure and Barring Service (DBS) and/ or Disclosure Scotland.

Ready to be part of something greater?

Apply today!

The Enterprise Space Information Management (ESIM) service at Carnegie Mellon University is recruiting for a CAD Technician / Space Analyst position to manage space-related data and campus drawings, floorplans and associated space related data. This is an exciting opportunity to join a new team on campus as we build this new service to provide floor plans, drawings and related data and reports to the university enterprise. We are in need of a motivated, detail-oriented self-starter who can support this new program to work with departments to collect, verify, maintain and report on space-related data and to support the university CAD/BIM specialist to create, verify, maintain and manage our library of CAD drawings. This position will involve coordinating with the campus design and project management groups for project-related drawings and to assist with project closeout.

Interested in learning more? Apply Today!

Core responsibilities will include:

• Help maintain, manage and upkeep building floor plan drawings and related data. CMU has over 400 floor plans for campus buildings that need to be verified and updated as changes to physical spaces occur.

• Collect, maintain and upkeep space-related data across campus in FM:Systems (our campus IWMS solution).  This will require interacting with many departments and facility coordinators across the university.
• Maintain and upkeep the library of PDF floor plans and space reports used throughout campus for many purposes. Additionally, some of these drawings are linked to data that requires reporting of floor plan-related data.
• Respond to requests for specialized floor plan reports. The position will support vendors requiring floorplans (CAD or PDF) for various related projects.
• Assist departments to support various space survey and reporting processes that rely on up-to-date floorplans and related data.

• work with AutoDesk for CAD and REVIT for BIM data/drawings received from projects.

• Support the University CAD/BIM Specialist with tasks as required.

• Other duties as assigned. 

Flexibility, excellence, and passion are vital qualities within ESIM.  Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.  

Qualifications: 

• Associate’s degree required; Bachelor’s degree preferred
• Equivalent experience and/or education may be considered in lieu of degree
• 1-3 years of relevant work experience
• Required and/or preferred licenses, certifications; Software programs and systems; Languages
• Minimum skills, preferred skills (should be job related and/or technically oriented)
• Minimum Skills:  Experience with AutoCAD

• Preferred:  Experience with REVIT

• Preferred:  Experience with FM:Systems or other IWMS or CAFM applications

Requirements:

• Successful Background Check
• Child Protective Clearance - Act 153

Location

Pittsburgh, PA

Job Function

Facilities Operations

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information: