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Contract Data Scientist Risk Jobs in Manchester, CT

The Hartford

Risk Manager CAT Modeling

Hartford, CT

$112K - $168K/yr

... Actuarial Science and a demonstrated aptitude for coding, statistical analysis, and data ... risk management and modeling. * Experience in Excel/VBA, SQL, R and CoPilot (or other AI)

The Hartford

Risk Manager CAT Modeling

Hartford, CT · On-site

$112K - $168K/yr

... Actuarial Science and a demonstrated aptitude for coding, statistical analysis, and data ... risk management and modeling. * Experience in Excel/VBA, SQL, R and CoPilot (or other AI)

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All JobsContract Data Scientist Risk JobsContract Data Scientist Risk Jobs in Manchester, CT

Contract Data Scientist Risk information

See Manchester, CT salary details

$37.9K

$124K

$198.5K

How much do contract data scientist risk jobs pay per year?

As of Sep 7, 2026, the average yearly pay for contract data scientist risk in Manchester, CT is $123,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $137,400.00 per year, depending on experience, location, and employer.

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.

What are popular job titles related to Contract Data Scientist Risk jobs in Manchester, CT?

For Contract Data Scientist Risk jobs in Manchester, CT, the most frequently searched job titles are:

What job categories do people searching Contract Data Scientist Risk jobs in Manchester, CT look for?

The top searched job categories for Contract Data Scientist Risk jobs in Manchester, CT are:

Contract Data Scientist Risk jobs near you
Infographic showing various Contract Data Scientist Risk job openings in Manchester, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,965 per year, or $59.6 per hour.

Snowflake Finance Data & AI Architect Manager

Deloitte

Hartford, CT

Full-time

Posted 6 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.


Recruiting for this role ends on XX/XX/XXXX.


Work you'll do

As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.

Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption

Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence

Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview

Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting

Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI

Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses

Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting


A successful candidate would possess these skills:

?Ability to work independently and collaborate as part of a team

?Ability to translate finance outcomes into clear architecture decisions

?Effective written, verbal, and executive communication skills

?Meticulous attention to detail and quality of work product

?Ability to build and sustain professional relationships

?Ability to lead projects or workstreams

?Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

?Ability to meet deadlines

?Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.


Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.


Qualifications

Required:

6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment

4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment

4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview

Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization

Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls

Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports

Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field

2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams


Qualifications:

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.


Recruiting for this role ends on XX/XX/XXXX.


Work you'll do

As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.

Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption

Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence

Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview

Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting

Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI

Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses

Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting


A successful candidate would possess these skills:

?Ability to work independently and collaborate as part of a team

?Ability to translate finance outcomes into clear architecture decisions

?Effective written, verbal, and executive communication skills

?Meticulous attention to detail and quality of work product

?Ability to build and sustain professional relationships

?Ability to lead projects or workstreams

?Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

?Ability to meet deadlines

?Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.


Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.


Qualifications

Required:

6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment

4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment

4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview

Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization

Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls

Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports

Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field

2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams


Education:Bachelor's DegreeEmployment Type:

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