Jnr Data Scientist

NLP PEOPLE; City Of London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A recruitment agency is seeking a Data Scientist to work on analytics within a global team. The role involves generating and reviewing large data sets, designing forecasting models, and enhancing data processes. Ideal candidates should have commercial data science experience and an advanced degree in relevant fields, along with skills in SAS and data mining. Significant investment in training and development will be provided.

Qualifications

• Commercial data science experience required.
• Experience creating customer segmentation models necessary.
• Exceptional data analysis abilities and discern hidden patterns.

Responsibilities

• Generate and review large sets of data using statistical techniques.
• Design and build consumer behavioral forecasting models.
• Improve accuracy and availability of company data.
• Develop strategies for customer and product engagement.
• Analyze customer patterns to optimize product performance.
• Present data comprehensively to senior stakeholders.

Skills

Data analysis

Problem-solving

SAS

Data Mining

Statistical analysis

Education

MS or PhD in statistics, physics, mathematics, Computer Science, or Engineering

Tools

MS Office

Job description

Data Scientist – statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, Map Reduce)

This is an exceptional job opportunity to work as a Data Scientist on this global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation.

Responsibilities include:

• Generate and review large sets of data through the advanced use of quantitative and statistical analytical techniques
• Design, build and utilize consumer behavioural forecasting models with different sectors of the business to maximize business opportunities
• Lead initiatives to improve the accuracy, availability, granularity and coverage of company data
• Develop an analytic strategy that improves customer and product strategy
• Improve and design better data analysis processes for the future
• Proactively develop new actionable analyses and insights from large data sets through the use of advanced quantitative statistical techniques
• Analyze patterns and behaviors of customers to optimize and maximize the performance of the whole product suite including customer experience
• Design and build complex behavior forecasting models to identify links between behavior and new potential opportunities
• Manipulate high-level data and present it in a comprehensible fashion to various senior stakeholders within the company
• Help develop the analytics strategy to support product plans and maximize customer engagement

The ideal candidate will have exceptional data analysis and problem-solving abilities, as well as the ability to discern hidden patterns and signals within financial markets.

Company:

Recruitment agency

Qualifications:

Requirements include:

• Commercial data science experience
• SAS
• MS or PhD preferred in statistics, physics, mathematics, Computer Science, or Engineering
• Experience creating customer segmentation models
• Data Mining
• Proficient user of MS Office

This is a superb career opportunity in the Big Data space, with significant investment in skills training and personal development.

EEO Statement:

We are an equal opportunities employer and welcome applications from all qualified candidates.