Data Scientist
| Dyddiad hysbysebu: | 27 Awst 2025 |
|---|---|
| Cyflog: | £35,000 i £42,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 26 Medi 2025 |
| Lleoliad: | UK |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 5 ddiwrnod yr wythnos |
| Cwmni: | Intenttech Ltd |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | INT018 |
Crynodeb
Key Responsibilities
* Developing classification and regression models
*Design and build predictive models, machine learning solutions, and smart algorithms.
*Analyze Diverse Data: Clean, process, and interpret data from client systems (SQL, Python/R) to support bespoke software projects.
*Develop Client Dashboards: Create intuitive Tableau/Power BI visualizations embedded in custom apps or standalone reports.
*Cross-Project Collaboration: Work with engineers to define data requirements for new software builds or integrations.
*Generate Insights: Identify trends, anomalies, and opportunities in client data
*Ensure Compliance: Adhere to GDPR/CCPA and client-specific data governance policies.
*Client Advocacy: Translate technical findings into clear recommendations for non-technical stakeholders.
What You Bring
Essentials:
*4+ years in data analysis, preferably in consulting, SaaS, or software services.
*Proficiency in SQL and Python (Pandas, NumPy) or R.
* Proficiency in predictive modelling
*Experience with BI tools .
*Driving measurable impacts across the business through using machine learning and statistical analysis
*Solid statistical and mathematical foundations
*Strong communication skills – you bridge tech teams and business users.
Nice-to-Haves:
*Exposure to cloud platforms (AWS/Azure/GCP) or ETL tools .
*Knowledge of statistical methods (regression, clustering, A/B testing).
*Experience with API data integrations or database design.
*Background in industries we serve: finance, healthcare, or logistics.
* Developing classification and regression models
*Design and build predictive models, machine learning solutions, and smart algorithms.
*Analyze Diverse Data: Clean, process, and interpret data from client systems (SQL, Python/R) to support bespoke software projects.
*Develop Client Dashboards: Create intuitive Tableau/Power BI visualizations embedded in custom apps or standalone reports.
*Cross-Project Collaboration: Work with engineers to define data requirements for new software builds or integrations.
*Generate Insights: Identify trends, anomalies, and opportunities in client data
*Ensure Compliance: Adhere to GDPR/CCPA and client-specific data governance policies.
*Client Advocacy: Translate technical findings into clear recommendations for non-technical stakeholders.
What You Bring
Essentials:
*4+ years in data analysis, preferably in consulting, SaaS, or software services.
*Proficiency in SQL and Python (Pandas, NumPy) or R.
* Proficiency in predictive modelling
*Experience with BI tools .
*Driving measurable impacts across the business through using machine learning and statistical analysis
*Solid statistical and mathematical foundations
*Strong communication skills – you bridge tech teams and business users.
Nice-to-Haves:
*Exposure to cloud platforms (AWS/Azure/GCP) or ETL tools .
*Knowledge of statistical methods (regression, clustering, A/B testing).
*Experience with API data integrations or database design.
*Background in industries we serve: finance, healthcare, or logistics.