Fancy joining a global organisation that is revolutionising the digital landscape? Today, as clients across industries are moving from digitally extending their businesses to placing digital at the core, Publicis.Sapient has an unprecedented opportunity to help them succeed.
You will help assist the Data Science practice and play a critical role in helping advance the application of analytics and machine learning as a core building block for our core market offerings. Assist in project delivery for Data Science work plans that ultimately improve customer understanding and help drive clients’ growth. As an evangelist for Data Science, you will partner with leaders in various divisions, industries and geographies, in order to ensure that increasingly more solutions we bring to the market are driven and are supported by a strong data Sciences and data engineering group whilst helping to identify new business opportunities and account growth.
What sort of projects will you be at the heart of?
Core areas of focus for this group includes applications in customer segmentations, behaviour analysis, developing recommender systems, fraud analytics, personalisation systems and forecasting.
Analyse large data sets and apply insights to help create personalised customer experiences across multiple sectors in digital, mobile and retail environments.
What are the roles and responsibilities?
You’ll consult with senior clients to define business problems, and advise on how to apply data to solve those problems
As a data scientist on consulting engagements, you’ll design, code and implement machine learning and AI solutions
Assist with internal project teams as they transition from traditional architectures to those driven by applications in machine learning
Assist with data analytics to enable Publicis.Sapient understand and use the methods, tools and processes of data science
Design experiments to measure changes to new user experience
To improve the targeting and messaging of product offers, you’ll segment customers and markets
You’ll design and implement analytical models to support our project objectives
We’ll use your research and evaluation of open-source and vendor solutions to guide our solutions
Your responsibilities will include code quality, including giving detailed and constructive design and code reviews
You’ll help us establish standards in machine learning and statistical analysis to ensure consistency across projects and teams
You’ll identify new opportunities within the data science space, and support the delivery of projects on time and to the highest possible standards
Support the role out of new data science methods, technologies, and thinking to the market, enabling the business to better understand the Data Science tools and processes.
Segment customers and markets to improve targeting and messaging of product recommendations and offers
What are we looking for in you?
Knowledge of the absolute latest machine-learning practices
Strong awareness of latest technologies, landscape and trends.
Experience managing multiple projects with tight deadlines
Strategic thinking and doing. Great written and verbal communication and the ability to work closely with senior stakeholders
The ability to translate complex solutions into well-structured and simple recommendations
Do you have the following?
PhD or Master’s degree or equivalent in Computer Science, Artificial intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field.
Hands on Evaluation experience with understanding of Data Exploration, Model Comparison, Model evaluation, insights/interference, Data Interpretation / Insight Analysis
Demonstrable delivery experience using a wide variety of machine-learning techniques including classifiers, regression, clustering, decisions trees, neural networks, NLP and ensemble techniques
Broad awareness of Data Science concepts including, Linear Regression, Logistic regression, Correlation variance, standard Dev, Dimensionality reduction, unsupervised learning, Parameter tuning, Cross Validation, boot strapping, Forecasting and Imputation.
Experience with Python, R, Tensorflow, Cortana, Azure, Watson, SPSS and SAS
Solution Design & Development
Quality Assurance and Testing
Nice to have?
Previous experience of helping organisations understand how data can be leveraged to drive and improve business efficiencies.
Proven track record of delivering projects that have had measurable business impact
Experience in selling and building data solutions for businesses
Ability to work with Data Engineers to design/develop data intensive solutions
Deep understanding of data engineering, infrastructure and cloud computing
How to apply:
Please mention NLP People as a source when applying