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This Government Contract opportunity from Government of Canada was posted on July 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Science & Predictive Analytics

Closed
International

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541620
New
SLED
Monroe Area Recharge Project
Solicitation # RFP-2026-0001
The Lower Loup Natural Resources District is seeking a qualified professional engineering consultant for the Monroe Area Recharge Project in southwestern Platte County, Nebraska. The project aims to design and implement a system to divert water from the Loup Power Canal into identified wetlands and drainages to facilitate groundwater recharge and baseflow retiming. The scope of work includes an existing conditions assessment, site identification and prioritization, conceptual and final design, permitting support, and the development of a final hydrologic modeling report and an operations and maintenance plan. All designs must adhere to Federal Energy Regulatory Commission requirements, including specific mandates for minimum flow in bypass reaches, run-of-canal operations, water temperature limits of 93 degrees Fahrenheit, and a maximum diversion of 2,000 cfs between March 1 and June 30. Proposals are due by 5:00 pm on October 2, 2026, and must consist of four hard copies and one digital version delivered to the district office in Ord, Nebraska. Selection will be based on technical qualifications, a proven track record with similar water retiming projects, the proposed approach, and cost effectiveness. Work is scheduled to commence by December 1, 2026, with a timeline to be mutually agreed upon following the award. The contract requires the consultant to be fully insured for general liability and workers compensation. Payment will be processed on a monthly basis, subject to a 10 percent retainage that will be released upon project completion.
Lower Loup Natural Resources District

POSTED

1 day ago

DEADLINE

in 20 days

AI Contract Overview

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The contract is for data science and predictive analytics services aimed at enhancing data-driven decision-making within digital investment initiatives under the Department of Transport, Government of Canada. The work will involve applying statistical modeling, machine learning, and advanced analytics to extract insights and support strategic planning across various digital projects. The subcontract is open to qualified providers with expertise in analytical methodologies and must be responsive by the deadline of August 11, 2026. The primary place of performance is the National Capital Region, and the NAICS code 541620 indicates this falls under other scientific and technical consulting services. There is no specified set-aside classification, and the opportunity is posted on the Canada Buys portal for public access.

General Info

Data science and predictive analytics services for digital investments in Canada’s Department of Transport, due August 11, 2026.

Agency

Government of Canada → Department of TransportView Agency

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

National Capital Region (NCR), CAN

Set-Aside

NONE

Documents

This scope was carved out of T8080-250568-1.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Data Management & Data Science Support for Digital Investment Projects.

AI Contract Breakdown

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGovernment of Canada → Department of Transport
ContactsNo contacts available
OfficeN/A
Organization / Agency
Government of Canada → Department of Transport
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Apply statistical modeling, machine learning, and advanced analytics to support data-driven decision-making across digital investment projects.

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