Data Science Manager – Market Research Consultancy

Spalding Goobey Associates

Job title:

Data Science Manager – Market Research Consultancy

Company:

Spalding Goobey Associates

Job description

Job Spec: We are looking for an inquisitive, ambitious, and dynamic individual to join the Data Science team of an established research consultancy to help them continue to develop innovative ways to deliver insight, strategy and consultancy to clients. In your role as a Data Science manager, your skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients’ decisions. You’ll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you’ll start to manage people and lead analytics initiatives. Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us.Your skills & experienceYou will:

  • run a range of key standard methodologies and execute them with little supervision;
  • align client business problems into analytical solutions;
  • lead data science projects with your manager’s supervision;
  • conduct research to identify new opportunities for data science applications within the industry and spot new opportunities to meet client needs;
  • develop custom scripts or tools to streamline routine tasks;
  • present results of data science solutions to internal and external clients;
  • get involved in team development initiatives and run new methodologies;
  • get involved in company-wide initiatives and developments; and
  • contribute to internal and external meetings with ideas and suggestions.

You must:

  • have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data;
  • have excellent communication skills and can easily and clearly explain complex concepts in plain English;
  • have experience leading in major projects and can easily and clearly explain complex analytical concepts to colleagues and clients in plain English;
  • consistently demonstrate excellent communications skills, the ability to prioritise and multi-task on a daily basis, whilst meeting deadlines;
  • take pride in and produce high-quality work, with attention to detail, and have the respect of your colleagues;
  • You’re a team player and care about elevating and developing junior members of the team;
  • are interested in social attitudes and what makes people, consumers and businesses tick;
  • Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression.

Technical must-haves:

  • You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise;
  • You have experience running Segmentation projects using different clustering methods;
  • You are expert with R and/or Python.

Nice-to-haves:

  • You have an interest in current affairs and politics;
  • You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis;
  • You have experience or knowledge of Bayesian methods, machine learning methods, text analytics;
  • You have experience or knowledge of analysing client’s CRM data;
  • You have experience or knowledge of organisational or financial analytics;
  • You are able to programme in VBA and build excel-based simulators.

Who to contact: Email your CV (in confidence) to , quoting the reference above, or contact Andrew Goobey, Andrew Mercer, Caroline Rock or Rebecca Meaton on 020 7287 7237IMPORTANT – PLEASE INCLUDE YOUR NAME AND EITHER YOUR RETURN E-MAIL ADDRESS OR TELEPHONE NUMBER IN THE MESSAGE. Please say that you found the vacancy on MrWeb! Thanks for your interest.

Expected salary

Location

Spalding, Lincolnshire

Job date

Thu, 28 Nov 2024 05:37:53 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.

To apply for this job please visit jobviewtrack.com.

Job Location