Senior Data Scientist
Chicago IL
Markel
Markel provides specialty insurance coverage and creates seamless solutions across multiple types of insurance risks for the US market and around the globe.Join us and play your part in something special!
A Senior Data Scientist is responsible for helping the Analytics Team Lead develop the project plan and execute on project tasks. A Senior Data Scientist has the following roles and responsibilities:
Consultant: Provide expertise, knowledge, and insight to help the business improve their performance and grow by solving problems and finding new and better ways of doing things. Serve as a catalyst for change.
- Own development of requirements, development of project artifacts and overall plans for specific project efforts
- Lead meetings with key stakeholders and keeps them up-to-date with project progress
- Support Team Lead in development of SOW, project communications and presentation materials
- Identify potential risks or gaps in implementation strategies
- Interpret root problem that stakeholder is trying to solve and recommends best course of action
- Support activities to develop new project opportunities
Analyst: Understands business needs and provides relevant information and insight to support functional objectives. Analyzes variables to identify trends, opportunities, issues and risks, and/or probable solutions to problems/situations for specific business areas.
- Execute, or lead execution, of defined solution
- Own process of validating analysis and ensuring results support excepted solution
- Recommend and support use of statistically sound processes and procedures
- Assess results from various angles and considers alternate interpretations
Operator: Executes on a plan of action within the expected timeframe and delivers expected results. Demonstrates commitment, responsiveness, and competence to the business and team.
- Support Team Lead in development of the project plan
- Take ownership in the identification and execution of tasks required by the project plan
- Support Team Lead in creation of project deliverables
- Committed to setting and meeting deadlines for project and those involved on the projects; drive towards completion during stated timeframe
- Clearly communicate intent and results to both the team and the business
- Effectively develop visualizations that support roll-out of technical solutions
- Provide realistic timelines for project completion and communicates risks to those timelines to lead and stakeholders
- Provide suggestions around data-related process improvement. Examples include data pipeline management, ideas for improvements to the data lake, consistency in coding standards
- Active participant in Project Management
Technical Expert: Maintains up-to-date knowledge in area of expertise through proactive research and continuing education so as to achieve functional objectives.
- Advanced coding skillset in R &/or Python
- Ability to read in text files or csv, as well as sourcing data directly from relational databases
- Proficient with SQL query development
- Implement business rules, create analytical models, modify existing models, produce summary stats on data
- Demonstrate ability to execute API calls
- Take ownership over feature engineering & handling null values
- High level of comfort in utilizing supervised and unsupervised learning techniques
- Demonstrate abilities to scrape or access unstructured data
- Ability to tell stories through visualizations
- Own/Drive modeling process and life cycle
- Challenge methods and model types used; assess strongest result given business need
- Develop plan for moving created solution to production
- Take ownership of work product and personal development
Mentor: Acts as a leader within the department by directing activities, promote successes, improve upon failures, and build competency through-out the department. Develops team members to build upon strengths and decrease weaknesses in individual performance, and maintaining positive team dynamics.
- Leads specific project efforts
- Acts as a mentor to other project team members
- Contribute to a positive work environment
- Assist in building unity across team
US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.
Who we are:
Markel Group (NYSE – MKL) a fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.
We’re all about people | We win together | We strive for better
We enjoy the everyday | We think further
What’s in it for you:
In keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work.
- We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees’ needs at all stages of life.
- All full-time employees have the option to select from multiple health, dental and vision insurance plan options and optional life, disability, and AD&D insurance.
- We also offer a 401(k) with employer match contributions, an Employee Stock Purchase Plan, PTO, corporate holidays and floating holidays, parental leave.
- Markel offers hybrid working schedules of 3 days in the office and 2 days remote.
Are you ready to play your part?
Choose ‘Apply Now’ to fill out our short application, so that we can find out more about you.
The base salary offered for the successful candidate will be based on compensable factors such as job-relevant education, job-relevant experience, training, licensure, demonstrated competencies, geographic location, and other factors.
Caution: Employment scams
Markel is aware of employment-related scams where scammers will impersonate recruiters by sending fake job offers to those actively seeking employment in order to steal personal information. Frequently, the scammer will reach out to individuals who have posted their resume online. These "job offers" include convincing offer letters and frequently ask for confidential personal information. Therefore, for your safety, please note that:
- All legitimate job postings with Markel will be posted on No other URL should be trusted for job Markel Group Careers.
- All legitimate communications with Markel recruiters will come from Markel.com email addresses.
We would also ask that you please report any job employment scams related to Markel to rarecruiting@markel.com.
Markel is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of any protected characteristic. This includes race; color; sex; religion; creed; national origin or place of birth; ancestry; age; disability; affectional or sexual orientation; gender expression or identity; genetic information, sickle cell trait, or atypical hereditary cellular or blood trait; refusal to submit to genetic tests or make genetic test results available; medical condition; citizenship status; pregnancy, childbirth, or related medical conditions; marital status, civil union status, domestic partnership status, familial status, or family responsibilities; military or veteran status, including unfavorable discharge from military service; personal appearance, height, or weight; matriculation or political affiliation; expunged juvenile records; arrest and court records where prohibited by applicable law; status as a victim of domestic or sexual violence; public assistance status; order of protection status; status as a smoker or nonsmoker; membership or activity in local commissions; the use or nonuse of lawful products off employer premises during non-work hours; declining to attend meetings or participate in communications about religious or political matters; or any other classification protected by applicable law.
Should you require any accommodation through the application process, please send an e-mail to the rarecruiting@markel.com.
No agencies please.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Classification CSV Engineering Feature engineering Python R RDBMS Research SQL Unstructured data Unsupervised Learning
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex vacation Health care Insurance Medical leave Parental leave Team events
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