The Hartford Sr Data Scientist in HARTFORD, Connecticut

Title: Sr Data Scientist

Location: United States-Connecticut-Hartford

Job Number: 1702018

Overview of the Position

The

Hartford seeks energetic and passionate Data Scientists to focus on designing,

developing and implementing solutions that will make an impact on our business.

Our Data Scientists play a significant role by both leading and partnering with

the business and data teams for a better understanding of the customer journey

across multiple lines of business. As a

Data Scientist you will focus on research for deliverables that support the

long term plan to evolve the department’s capabilities to further develop and

deliver impactful products to drive claims outcomes for both the business and

clients.

Solutions

developed by this multi-faceted team will support a wide range of business

areas which include underwriting, claims, operations, risk engineering, and

digital analytics. Our Data Scientists create a best in class modeling and

analytics approach within the data science community. As a Data Scientist you will

focus on developing analytic and predictive modeling solutions that feature

engineering assets, experimental design, as well as a modeling techniques and

abilities. Our Data Scientist toolbox consists of but not limited to predictive

Modeling Techniques, Machine Learning, Cognitive Computing, Unsupervised

learning, and Augmented intelligence. As

a Data Scientist you will support and explore those assets overtime through

customer adoption and establishing a rhythm within the data science community.

Responsibilities

·

Mentor other Data Scientists to

develop, test, validate, and maintain robust tools using supervised and / or

unsupervised techniques through new products and services, customer segments,

and competitive strategies.

·

Collaborate and partner with business

stakeholders in a way that supports the vision and sustains a culture that

treats analytics as a corporate asset. Review

work with leadership and partners on an ongoing basis to calibrate deliverables

against expectations

·

Review work with partners on an

ongoing basis to calibrate deliverables against expectations

·

Help identify long term

opportunities within the customer journey through the creation of algorithms

and machine learning techniques to achieve financial objectives and solve

problems.

·

Advance the departments capabilities

by creating and deploying long term tools to continually evolve the business.

·

Participate in identifying and

assessing the value of new data sources and analytical techniques to ensure

ongoing competitive advantage

·

Contribute to the development of

strategies to achieve targeted business objectives. Follow through to ensure

successful conclusion.

·

Accountable for long term ownership

of models developed and evolution of those models as assigned.

·

Support and assist in evolving the

processes used to develop and enhance our business needs

·

Support and model a high-performance

collaborative culture

·

Begin developing a broad knowledge

of The Hartford's formal and informal structures, business processes, and data

sources beyond your immediate area of expertise

·

Remain current on research

techniques and become familiar with state of the art tools applicable to your

function

·

Begin presenting complex modeling to

decision-makers that maximizes knowledge transfer and bottom-line impact of

modeling results

·

Perform data mining and transforms

raw data into actionable business information

·

Apply economic, quantitative, and

statistical skills in the development of models to drive profitable growth,

fight fraud, and make sound business decisions

·

Estimate the economic impact of

operational decisions

·

Analyze business data to provide

insight and business recommendations

·

Promote analytics opportunities of

the company with customers and business partners.

·

Participate in the talent management

process for hiring, onboarding, training and development of staff as needed

·

Collaborate with your leader to

provide timely feedback on development and opportunities for staff you are

mentoring

·

Suggest and participate in training

opportunities for research staff and others in the organization

Qualifications:

Experience& Skills

  • Master’sor Ph.D. in Statistics, Applied Mathematics, Actuarial Science,Quantitative Economics or other similar analytical field

  • 3-5 years ofrelevant experience in Research Function in Insurance or FinancialServices or related field.

  • Experiencein large scale operations environments(Claim Centers, Call Centers, Manufacturing) a plus.

Technical/FunctionalSkills

  • Subjectmatter expertise in data modeling

  • Strategicthinking and analytical capability

  • Strongverbal/written communication skills

  • Abilityto translate complex technical topics into business solutions andstrategies.

  • Experienceexecuting change to core business processes through the innovative use ofquantitative techniques.

  • Projectmanagement experience a plus

Competencies

  • Driveand commitment to what isnecessary to get the job done efficiently, thoroughly, andprofessionally.

  • Innovative.Seeks new and creative ways to approach analytical exercises and development projects.

  • Results-oriented.Demonstrates a sense of urgency and accountability for business issues.

  • Customer focused. Builds effective relationshipswith internal partners, including claims, actuarial, underwriting,operations, and information technology

Behaviors at the Hartford

  • DeliverOutcomes – Demonstrate a bias for speed and execution that serves ourshareholders and customers

  • Operateas a Team Player – Work together to drive solutions for the good of TheHartford

  • BuildStrong Partnerships – Demonstrate integrity and build trust with others

  • Strivefor Excellence – Motivate yourself and others to achieve high standardsand continuously improve

Equal OpportunityEmployer/Females/Minorities/Veterans/Disability/Sexual Orientation/GenderIdentity or Expression/Religion/Age

* NO AGENCIES PLEASE *

Job: Data Science