Data Scientist

Michael Page; Addlestone; On-site; GBP 100,000 - 125,000; Full time

Job summary

A professional services firm in the UK is seeking a Data Scientist to enhance their analytics capabilities. The role requires a Bachelor's degree in a quantitative field and 3-4 years of relevant experience. Candidates should excel in Python and possess strong statistical modeling skills. This position offers a competitive salary and opportunities for professional growth in a dynamic environment.

Benefits

Competitive Salary

PF and Gratuity

Qualifications

• Bachelor's degree required, preferably in Statistics, Business Analytics, Data Science, Math, or Economics.
• Master's degree preferred (MBA / MS Computer Science).
• 3-4 years of relevant working experience in data science or advanced analytics role.

Skills

Delivery Excellence

Business disposition

Social intelligence

Innovation and agility

Education

Bachelor's degree with quantitative focus

Master's degree preferred

Tools

Python

R

Power BI

Tableau

Docker

Job description

Competitive Salary

• Competitive Salary
• PF and Gratuity

About Our Client

Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services in gas station and conveninent store in the world

Job Description

Data Scientist

Job Requirements Education

• Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
• Master's degree preferred (MBA / MS Computer Science / Computer Science, etc.)

Relevant Experience

• 3 - 4 years for Data Scientist
• Relevant working experience in a data science / advanced analytics role

Behavioural Skills

• Delivery Excellence
• Business disposition
• Social intelligence
• Innovation and agility

Knowledge

• Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
• Statistical modelling using analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A / B testing, hypothesis testing, causal inference)
• Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
• Practical experience deploying models using MLOps tools and practices, (MLflow, DVC, Docker, etc.)
• Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch / TensorFlow, etc.)
• Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
• Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
• Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
• Microsoft Office applications (MS Excel, etc.)

Location

Gurgaon, WFO