Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Associate Director/ Senior Data Scientist

The STRAT7 Group Limited
London
2 weeks ago
Create job alert

Associate Director/ Senior Data Scientist

London, United Kingdom | Consulting | Hybrid

Company Description

STRAT7 Bonamy Finch is a data science, AI, and segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machine learning, natural language processing, and generative AI.

About STRAT7

We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth, helping many of the world’s most ambitious brands understand, predict, and act on change through technology-powered data and insight solutions. Headquartered in London, the group comprises six dynamic agencies with 400 employees across 12 locations in Europe, US, and APAC.

Position

Our primary focus is segmentation, which constitutes our largest volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of natural language processing, to consult on our specialized projects involving advising, designing, conducting, and leading survey analytics projects.

This role offers an exciting opportunity for someone eager to develop their data analytics skills further. The successful candidate should have advanced knowledge and experience with a range of multivariate techniques, be a specialist in segmentation, and ideally understand conjoint analysis and unstructured data analysis. The ability to consult and work with diverse data sources, analyze large datasets, and communicate persuasively with clients and internal teams is essential.

Core Responsibilities

Consultation

  • Engage with clients to understand their business challenges and data assets, and recommend how research, data enhancements, and analytics can drive growth.
  • Lead new business discussions by presenting our analytics offerings.
  • Support the design and execution of advanced segmentation projects, including survey, database, and hybrid segmentations using multiple data sources.
  • Apply best practices in segmentation to produce high-quality, actionable insights for clients.
  • Create segmentation models using multinomial logistic regression and linear discriminant analysis.

Advanced Analytics Skills

  • Strong working knowledge of analytical techniques such as conjoint analysis, machine learning (e.g., Random Forests, SVM), statistical methods (e.g., regression), time series, basket analysis, and unstructured data analytics.
  • Ability to synthesize multiple data sources into meaningful insights and actionable business metrics.
  • Knowledge of natural language processing and text analytics is beneficial.

Requirements

Skills and Knowledge

  • First or upper second class degree in a STEM subject (Statistics, Maths, Data Science, Economics, etc.).
  • Professional fluency in English.
  • Strong numerical skills and ability to communicate findings effectively to non-technical stakeholders.
  • Team-oriented with good communication and organizational skills.
  • Creative thinking in data collection and analysis, with a willingness to learn new skills and identify opportunities.
  • Interest in segmentation, generative AI, conjoint analysis, and related techniques.
  • Proficiency in R and/or Python.
  • Experience with segmentation techniques such as k-means, latent class, hierarchical, and factor analysis.
  • Understanding of working with market research and customer databases.
  • Knowledge of statistics and machine learning applications.
  • Experience with predictive modeling using linear models, XGBoost, discriminant analysis, etc.

Beneficial Skills

  • Experience with conjoint analysis and other pricing methods.
  • Knowledge of GDPR and data compliance.
  • Experience working with third-party data vendors and APIs.
  • Some familiarity with NLP libraries.

Other Information

At STRAT7 Bonamy Finch, we foster a culture of excellence, collaboration, and mutual trust. We offer flexible, hybrid working options, a comprehensive benefits package, and a supportive environment for professional growth.

  • 25 days holiday plus UK bank holidays
  • Two paid volunteering days per year
  • Flexible hybrid working (office in Holborn, London, 3 days/week)
  • Salary sacrifice and season ticket loans
  • Westfield Health cash plan
  • Discretionary bonus scheme
  • Generous staff engagement programs

Recruitment Process

The recruitment cycle typically involves two interviews.

Equal Opportunity Statement

STRAT7 is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or beliefs. We encourage applicants from all backgrounds to apply, even if they do not meet every qualification listed.


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Consulting - Data Architect

Senior Data Engineer - (Azure/Databricks)

Clinical Statistician, Director

Associate Director (Data Strategy & Analytics)

Senior Data Analyst

Python/Java Data Engineer - Equities - Front Office

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.