Senior Data Scientist

Graduate Recruitment Bureau; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading analytics firm is seeking a senior data scientist to head their customer analytics team. The role involves building advanced analytics models, mentoring team members, and engaging with clients to deliver actionable insights. Ideal candidates will have a strong technical background in data science, experience with machine learning, and the ability to communicate effectively with clients.

Qualifications

• Proven track record of deploying results within businesses.
• Ability to talk confidently to clients about business objectives.
• Flexibility to manage workload and work autonomously.

Responsibilities

• Building analytics models using machine learning and statistical techniques.
• Managing and growing the customer analytics team.
• Delivering insights through customer analytics.

Skills

Machine Learning

Statistical Techniques

Advanced Analytical Techniques

Natural Language Processing

Text Analytics

Time-Series Modelling

Regression

Segmentation

Web Scraping

Tools

R

Python

SQL

Azure

AWS

Job description

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An boutique firm that provides analytically-driven consumer insight services to a broad spectrum of consultancies and research agencies, as well as working directly with some of the world's leading brands.

Whether conducting advanced analytics or delivering full market research programmes, this company consistently delivers creative solutions to help clients solve business issues and make better-informed decisions.

This company has four core specialisms: predictive models; segmentation; brand strategy; and product & service optimisation. Customer analytics plays a key role in all of these areas.

The Role

They are looking for an experienced, commercially-focused, and passionate leader who will grow and manage the new customer analytics team as a senior data scientist.

You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data e.g., NLP. They recently used gradient boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend.

The Successful Candidate Is Likely To Have:

• Ability to talk confidently to clients, discussing and advising on business objectives
• Proven track record of how results can best be deployed within businesses
• Ability to take a flexible approach to workload, work autonomously when required, and demonstrate the ability to prioritise and organise

Technical skills:

• Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine learning, deep learning, natural language processing, text analytics, and time-series modelling
• Experience with a wide variety of technologies including: R or Python, SQL
• Understanding and experience with cloud infrastructures such as Azure or AWS and how to integrate R or Python analytical workflows would be highly desirable
• Proven track record with accessing client customer databases and data lakes
• Knowledge of major secondary data sets available and experience merging these to create additional insights
• Experience with web scraping tools and techniques