Full-Time Data Science Lead

Overview
We are looking to hire experienced hands-on data science professionals who continuously strive to push boundaries and deliver substantial business value through innovative use of data science / machine learning techniques.

How you'll make an impact

• Identify opportunities for data science / machine learning solutions in a business area and deliver value at scale without any guidance.
• Be an expert in the domain of machine learning / data science and communicate chosen methodologies, analyses, and interpretation of model predictions to business stakeholders.
• Independently take up data science projects and deliver the same to the satisfaction of the end users without any guidance.
• Research through competing solutions to a problem, measure their pros and cons and decide on the optimal approach.
• Identify and extract data needed, assess and remediate for data quality issues, perform feature engineering and undertake other data preparation activities for a large dataset containing millions of records.
• Develop appropriate data science / machine learning models in close collaboration other team members and with product managers.
• Track model performance over a period of time and adjust models to ensure ongoing predictive value.
• Coordinates with technology partners to build and maintain systems necessary for the deployment of developed models and algorithms.
• Provide mentorship and guidance to junior members of the team without formal supervisory responsibility.
• Review the work of other team members and provide feedback.

About You

• A degree in Data Science / Machine Learning / Statistics / Computer Science or an equivalent subject. Master's degree will be preferred.
• Should have at least 8 years of full lifecycle experience in data science projects in any industry. Experience in insurance industry will be preferred.
• Should have an excellent understanding of fundamental concepts of data science and machine learning methods and their evaluation methods.
• Should be an expert in Python and its data science libraries like Pandas, Scikit-Learn, Keras, TensorFlow, PyTorch, NumPy, MatPlotLib etc.
• An expert level knowledge and experience of working with NLP, GenAI and Large Language Models.
• Knowledge and experience of working with Retrieval Augmented Generation (RAG) frameworks like LangChain or Llama Index.
• Ability to effectively communicate highly complex data science concepts in relatively simpler terms to business stakeholders.
• Expertise in writing SQLs for data extraction, data manipulation and analysis.
• Proven ability to lead and drive projects and assignments to completion. Effectively engage and mentor talent.
• Ability to work in a collaborative team environment and quickly adapting to a new situation.
• Ability to handle and analyze a vast amount of data.
• Experience of working in a cloud based environment preferably Azure Databricks.

Desired Skills :

• A background in claims management, insurance, insurance brokerage, or financial services.
• Knowledge of software engineering best practices such as writing unit tests, using version control (e.g. Git), and writing technical documentation.
• Experience working in an agile environment.
• Experience building data pipelines for larger data sets and using cloud-based tools (i.e. Azure Databricks or Azure ML or AWS).
• Experience with deep learning methods

Compensation and benefits
On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Below are the minimum core benefits you'll get, depending on your job level these benefits may improve:

• Medical/dental/vision plans, which start from day one!
• Life and accident insurance
• 401(K) and Roth options
• Tax-advantaged accounts (HSA, FSA)
• Educational expense reimbursement
• Paid parental leave

Other benefits include:

• Digital mental health services (Talkspace)
• Flexible work hours (availability varies by office and job function)
• Training programs
• Gallagher Thrive program - elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
• Charitable matching gift program
• And more...

We value inclusion and diversity
Click Here to review our U.S. Eligibility Requirements