Sr. Consultant, Data Science II

Date: Apr 18, 2024

Primary Location: Radnor, PA, US

Company: Lincoln Financial

Alternate Locations: Greensboro, NC (North Carolina); Fort Wayne, IN (Indiana); Radnor, PA (Pennsylvania)


Work Arrangement:

Hybrid/Common Days+ : Work 2-3 days a week in a Lincoln office with a designated workspace.


Relocation assistance:  is not available for this opportunity.


Requisition #: 72238


Core Information

Job Title : Sr. Consultant, Data Science II;Job Code : Sr. Consultant, Data Science II (BA30P401);Job Family : Data Science;; Function : Business Analysis;FLSA Status : Exempt;Job Level : P4;

General Purpose of Job

This position will provide subject matter expertise and direction on complex projects/initiatives involving multiple/cross-functional resources in the design and implementation of innovative data science solutions to support the achievement of business goals. They will act as a lead in the research and implementation of best in class advanced data science approaches, process automation, and tooling to provide meaningful data insights to business leadership.

The Role at a Glance

This role will be a member of a small team in Corporate Finance supporting financial data environments and interfaces covering specific business areas in Finance (Investment operations, Actuarial, EPM data, Financial reporting, etc)  This data scientist will be an independent contributor supporting a growing area in finance for data analysis and insights. 
•    This individual will be focused on analyzing complex data to understand underlying processes.   
•    Provides input into strategy, analysis methods, and tool selection.  Works with moderate guidance in own area of knowledge. 
•    Resource will be responsible for initially supporting a large scale implementation with financial data and analyzing specific use cases to identify opportunities for machine learning, visualization, and data wrangling - identifying data trends and insights.  
•    Working with peer team members and data scientists, this resource will act as one of the key process expert

What you'll be doing

o    Perform advanced analytics techniques to mine unstructured data
o    Understand large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use cases. 
o    Leverage tools and resources to plan, evaluate, and execute strategic initiatives. 
o    Proficiency in the entire predictive modeling life cycle - from exploratory data analysis to data cleansing to Feature engineering to model building and validation, operationalization and scalability of scientific techniques and establishing decision strategies. 
o    Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees, random forest, neural networks, NLP, feature selection/ reduction, clustering, parameter tuning, etc) 
o    Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross functional teams. Two to four successfully launched ML projects would be ideal. 
o    Demonstrated programming skills in Python, SQL, Spark, etc
o    Hands on experience on using AWS framework and cloud querying tools.  
o    Exposure to deep learning applications and tools is a plus 
o    Experience in the financial insurance domain and familiarity with financial models are highly desirable. 
o    Ability to partner closely with a diverse set of business collaborators to identify needs and deliver AI/ML solutions.  
o    Ability and willingness to step in where needed in data management teams - for all data analysis needs. 
o    Managing analytics projects from start to finish (data integration, analysis, reporting).
o    Working closely with the team leads to solve statistical business problems.
o    Developing and coding new algorithms to meet specific business needs.
o    Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data.
o    Managing, maintaining, and developing the organization’s data platform.
o    Consulting with internal and external teams to determine their ongoing business needs, and to find solutions to them.
o    Actively working to identify improvements to internal processes, to improve conversions, revenue, ROI (or other relevant metrics).
o    Ability to lead teams in researching or solving business-critical problems.
o    Ability to understand data metadata management practices
o    Ability to clearly articulate thoughts and ideas and adjust communicate based on audience
o    Ability to leverage previous experience to consider a variety of alternative to arrive at a timely, practical and effective solution to resolve business problems.
o    Strong collaboration skills with the ability to work with business partners to design and execute priorities and project goals. 
o    Strong organizational and time management skills with the ability to handle shifting priorities
o    Demonstrated understanding of overall data models, data relationships, mapping lineage and business rules, 
o    Experience with Accounting, Finance, and EPM system implementations / data

What we’re looking for

o    3-5 Years of experience in the Insurance Finance industry (Actuarial preferred) that aligns with the specific responsibilities of this position
o    4+ years prior work experience as a data scientist
o    Practical knowledge in python machine learning and data visualization 
o    Practical knowledge in data ETL such as working with data loading from SQL, SCV, JSON, Excel, etc and Data Wrangling / cleaning
o    Perform advanced analytics techniques to mine unstructured data
o    Practical knowledge in python machine learning and data visualization 
o    Practical knowledge in data ETL such as working with data loading from SQL, SCV, JSON, Excel, etc and Data Wrangling / cleaning
o    4 Year/Bachelor's degree or equivalent work experience in data science (4 years of experience in lieu of Bachelor's) (Minimum Required)
o    4+ years of experience in data mining, data analysis, data management, data governance, data stewardship, or data quality at a financial institution or in another highly regulated industry. 
o    Deep knowledge of visualization tools (tableau, PowerBI, Quicksight) 
o    Demonstrated ability to be innovative and an aptitude to drive and accept change.
o    Demonstrates proficiency with data warehousing and management reporting projects/initiatives
o    Demonstrated strong critical ability to coordinate and balance multiple projects in a time-sensitive environment and meet deadlines.
o    Demonstrated ability to build and sustain strong partnerships with business and IT.
o    Demonstrated experience in collaborating with business and IT to assess business need, identify solutions to solve for business problems
o    Proven experience successfully working across stakeholder groups, including internal team, technology, and functional & Business partners. 
o    Excellent verbal and written communication skills, Confident, comfortable communicator with strong written and verbal communication skills.


What’s it like to work here?

At Lincoln Financial Group, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.


What’s in it for YOU:

  • A clearly defined career framework to help you successfully manage your career

  • Leadership development and virtual training opportunities

  • PTO/parental leave

  • Competitive 401K and employee benefits

  • Free financial counseling, health coaching and employee assistance program

  • Tuition assistance program

  • A leadership team that prioritizes your health and well-being; offering a remote work environment and flexible work hybrid situations

  • Effective productivity/technology tools and training


Pay Range: $87,700 - $159,900 


Actual base pay could vary based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees.  In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual.  Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.


About The Company

Lincoln Financial Group provides advice and solutions that help people take charge of their financial lives with confidence and optimism. Today, approximately 16 million customers trust our retirement, insurance and wealth protection expertise to help address their lifestyle, savings and income goals, and guard against long-term care expenses.

Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE:LNC) and its affiliates. The company had $290 billion in end-of-period account balances net of reinsurance as of March 31, 2023. 


Lincoln Financial Group is a committed corporate citizen included on major sustainability indices including the Dow Jones Sustainability Index North America and ranks among Newsweek’s Most Responsible Companies. Dedicated to diversity, equity and inclusion, we are included on transparency benchmarking tools such as the Corporate Equality Index, the Disability Equality Index and the Bloomberg Gender-Equality Index. Committed to providing our employees with flexible work arrangements, we were named to FlexJobs’ list of the Top 100 Companies to Watch for Remote Jobs in 2022. With a long and rich legacy of acting ethically, telling the truth and speaking up for what is right, Lincoln was recognized as one of Ethisphere’s 2022 World’s Most Ethical Companies®. We create opportunities for early career talent through our intern development program, which ranks among WayUp and Yello’s annual list of Top 100 Internship Programs.


Lincoln is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 


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Be Aware of Fraudulent Recruiting Activities

If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview.  Please contact Lincoln's fraud team at if you encounter a recruiter or see a job opportunity that seems suspicious.


Additional Information

This position may be subject to Lincoln’s Political Contribution Policy.  An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.


Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial Group are considered property of Lincoln Financial Group and are not subject to payment of agency fees.


Lincoln Financial Group (“LFG”) is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, sexual orientation, gender identity and expression, Veteran status, or genetic information.  Applicants are evaluated on the basis of job qualifications.  If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.


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