Senior Data Scientist.

TN United Kingdom; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

An established industry player is seeking a passionate senior data scientist to lead their new customer analytics team. This exciting role involves building advanced analytics models using machine learning and statistical techniques, while also engaging with clients to discuss and advise on their business objectives. With a focus on predictive modeling, segmentation, and brand strategy, you'll play a key role in delivering creative solutions that help clients make informed decisions. If you are driven by data and eager to make a significant impact in the analytics field, this opportunity is perfect for you.

Qualifications

• Experience in building analytics models using machine learning and statistical techniques.
• Strong knowledge of advanced analytical techniques and client communication skills.

Responsibilities

• Lead and grow the new customer analytics team as a senior data scientist.
• Build analytics models using various data science approaches.

Skills

Machine Learning

Statistical Techniques

Natural Language Processing (NLP)

Time Series Analysis

Regression Analysis

Segmentation

Deep Learning

Text Analytics

Client Communication

Autonomous Work

Tools

R

Python

SQL

Azure

AWS

Web Scraping Tools

Job description

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A 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 will play 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, to work autonomously when required, demonstrating the ability to prioritise and organise.

Technical skills:

• Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine deep learning, natural language processing, text analytics, and time-series modelling.
• Experience of 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 the major secondary data-sets available, and experience of merging these to create additional insights.
• Experience with web scraping tools and techniques.