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, and have a long journey of innovation in machine learning, natural language processing, and generative AI.

POSITION:

STRAT7 Bonamy Finch is looking for a Senior Data Scientist.
Segmentation is our biggest volume of work, whilst AI and analysis of unstructured data is our fastest growing. We are therefore looking for a Senior data scientist who has skills in cluster analysis and ideally natural language processing and is able to consult on our specialisms focusing on advising, designing, conducting and leading on survey analytics projects.
This is an exciting opportunity for someone who would like to develop their data analytics skills further. The successful candidate should have advanced knowledge and experience of a wide range of multivariate techniques, be a specialist in segmentation, and ideally have an understanding of conjoint and unstructured data analysis. An all-round ability to consult and work with a variety of data sources, analysing large and diverse datasets, and be engaging and persuasive when consulting with clients and our wider STRAT7 team.
The role
These are the core responsibilities of the role:

Consultation

• Consulting with clients on their business challenges and data assets, recommending how primary research, data enhancements, and analytics can be utilised to drive business growth.
• Mixture of conducting and managing analytical projects, consulting with clients on the best approach to segmentation, trade-off, predictive models and multiple source briefs.
• New business conversations with clients to take them through our analytics offer
• Writing analytical proposals / primary research proposals requiring analytics - ability to think creatively about designing analysis & research programmes that answer the client’s needs in innovative ways

Segmentation

• With the support of colleagues, able to consult on, advise on, and build advanced segmentations – including survey segmentations, database segmentations and hybrid segmentations incorporating multiple data sources
• Use Bonamy Finch best practice on segmentation (from over 2,000 segmentations) to create consistently high quality segmentations that enable client identify “where to play” and “how to win”
• Create segmentation golden questions – using multinomial logistic regression and linear discriminant analysis
• Understand / learn the process of building more advanced classification models to predict segments using a range of data science approaches, (e.g., Random Forests, XGBoost) on a variety of data sets (e.g. transactional, behavioural databases, marketing, sales, market research)

Advanced Analytics Skills

• Would be beneficial to have a strong working knowledge of analytical techniques within primary research (or be ready to learn these), such as Conjoint analysis, Machine Learning (e.g. Random Forests & SVM), Statistical techniques (e.g. Logistic & Linear Regression), along with wider analytical approaches such as Time Series and Basket Analysis, and analytics with unstructured data.
• A good grounding in wider data science techniques and analysis of a variety of different data sets will be an advantage

• Ability to piece stories together to deliver insights rather than just analytical models e.g., combine multiple data sources and analysis to project findings into real-world, business ready metricsWorking knowledge of natural language processing, text analytics, would be beneficial

REQUIREMENTS:

Your skills and knowledge
You will have a first class or upper second class degree in a STEM subject (Statistics, Maths, Data Science, Economics etc…). Professional level fluency in English is required.
You need a strong affinity with numbers and an ability to explain findings to colleagues in non-technical terms. We are looking for a team player who actively shares knowledge, with good communication and organisation skills. You should be able to think creatively when it comes to data collection and analysis, able to work at pace to meet project deliverables with a willingness to learn new skills and spot new opportunities. The successful candidate must have a keen interest in Segmentation, Generative AI, Conjoint and other analytical techniques specified above.

Required skills (general):

• Good working knowledge of R and/or python
• Excellent consultation skills with a range of stakeholders
• Knowledge of segmentation techniques such as k-means, latent class, hierarchical and factor analysis
• Appreciation and appetite to work across a variety of data - especially market research and customer databases
• Knowledge of statistics and applied machine learning
• Experience using statistical linear models i.e. linear regression for prediction
• Classification methods to predict segments onto databases / other research data i.e. survey i.e. MLR, XGBoost, Discriminant analysis

Beneficial skills or a great willingness to learn

• Conjoint analysis experience / other pricing methods using survey data
• Knowledge of GDPR / data compliance
• Experience / Understanding of Git and version control
• Working with 3rd party data vendors

• Prior use of APIsSome knowledge of Natural Language Processing (NLP) libraries

Please refer the Job description for details