Data Scientist(worked prior as Data Analyst)
Posted 3 days ago by Synergent Tech Solutions
Negotiable
Undetermined
Remote
Remote
Summary: The role is for a Senior/Lead Data Scientist with a focus on data wrangling, analytics, and dashboarding. The position requires extensive experience in cleaning and preparing complex datasets, conducting exploratory data analysis, and developing analytical applications. The candidate should also have strong SQL and Python skills, along with experience in building dashboards using Tableau. This is a remote position aimed at leveraging data insights to support marketing and business decisions.
Key Responsibilities:
- Clean, normalize, and QA complex datasets (ex: credit card transaction files)
- Build reproducible data pipelines and queries
- Use of LLMs to clean and standardize credit card transaction data
- Conduct exploratory data analysis to surface trends and opportunities across member segments, tiers, earning patterns, benefit usage, etc.
- Develop clear, actionable insights to support marketing and cobrand decisions.
- Support ad-hoc analyses, including member behaviour, spend behaviour, and partner activity
- Develop interactive, user-friendly analytical applications using Snowflake Cortex + Streamlit in Snowflake.
- Design and build dashboards (Tableau) that provide intuitive visibility into KPIs, member engagement, and program performance.
- Refresh and maintain reporting assets, and improve existing dashboards as needed.
Key Skills:
- Strong SQL and intermediate Python skills
- Experience building dashboards using Tableau
- Experience using LLMs for data manipulation is a nice to have, however a drive to learn quickly is a must have
- Experience building analytical applications using Snowflake Streamlit is a nice to have
- Demonstrated ability to clean and work with messy datasets (credit card data, transactional records, etc.)
- Ability to support model development such as Customer Lifetime Value, Member Segmentation, etc. is a nice to have
- Tech requirements: Snowflake, SQL, Python, Tableau
- Strong communication skills with the ability to translate analytics into business insights
Salary (Rate): £45
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Role: Data Analyst / Scientist
Remote
Job Description:
Data Wrangling & Preparation
- Clean, normalize, and QA complex datasets (ex: credit card transaction files)
- Build reproducible data pipelines and queries
- Use of LLM s to clean and standardize credit card transaction data
Analytics & Insights
- Conduct exploratory data analysis to surface trends and opportunities across member segments, tiers, earning patterns, benefit usage, etc.
- Develop clear, actionable insights to support marketing and cobrand decisions.
- Support ad-hoc analyses, including member behaviour, spend behaviour, and partner activity
- Develop interactive, user-friendly analytical applications using Snowflake Cortex + Streamlit in Snowflake.
- Nice to have: Ability to build scalable, production-ready ML workflows in Snowflake (Snowpark, ML Functions, Feature Store), including end-to-end pipeline development encompassing data preparation, feature engineering, model training, testing, deployment, evaluation, and ongoing monitoring.
Dashboarding & Reporting
- Design and build dashboards (Tableau) that provide intuitive visibility into KPIs, member engagement, and program performance.
- Refresh and maintain reporting assets, and improve existing dashboards as needed.
Qualifications
- Strong SQL and intermediate python skills
- Experience building dashboards using Tableau
- Experience using LLM s for data manipulation is a nice to have, however a drive to learn quickly is a must have
- Experience building analytical applications using Snowflake Streamlit is a nice to have
- Demonstrated ability to clean and work with messy datasets (credit card data, transactional records, etc.).
- Ability to support model development such as Customer Lifetime Value, Member Segmentation, etc. is a nice to have
- Tech requirements: Snowflake, SQL, Python, Tableau
- Strong communication skills with the ability to translate analytics into business insights.