Find Data Scientists
We use a highly curated database to find the candidate with the skills most suited to your business’s needs. Browse the talent below, find the perfect fit and our qualified customer service agents will take care of the rest.
Data Scientist
A Data Scientist with a background in mathematics and statistics and experience in NLP, Image Processing, engineering data in datasets, and machine learning methods such as Bayesian Machine Learning, Neural Networks, and other algorithms such as Random Kitchen Sink, Regression/Random Forests, and Generalised Linear Models.
Skills
machine-learning
python
statistics
computer-science
excel
keras
mathematics
numpy
pandas
r
sap-moduls
scikit-learn
sql
vba
waitering
Data Scientist
PhD and MSc qualified results driven data scientist/statistician with proven expertise in the application of statistical modeling/machine learning. Strong knowledge of predictive modeling techniques with the ability to generate actionable insight from complex data and stakeholder requirements. Recently awarded an MSc. in Data Science & Analytics from Royal Holloway, Univ. London with distinction.
Skills
matlab
python
r
aws
java
matplotlib
numpy
pandas
pig
scikit-learn
spark
sql
Data Scientist
• 12+ years experience in deriving pragmatic, actionable insight from data,
• Advanced analytics, Predictive modelling, Data Visualisation,
• Process Automation, Machine Learning,
• Locating bottlenecks and optimising business operations,
• Strong background in the engineering research and development,
• Data lifecycle management (ETL)
• Product Optimisation, Design of Experiment using Simulation Tools
https://www.linkedin.com/in/kprzysowa/
• Advanced analytics, Predictive modelling, Data Visualisation,
• Process Automation, Machine Learning,
• Locating bottlenecks and optimising business operations,
• Strong background in the engineering research and development,
• Data lifecycle management (ETL)
• Product Optimisation, Design of Experiment using Simulation Tools
https://www.linkedin.com/in/kprzysowa/
Skills
azure
hadoop
python
r
hdinsight
hive
javascript
sql
tableau
Data Scientist
• Cornell Honours graduate in Statistical Sciences with applied project/team experience in statistical consulting units and hospitality industry
• Background in theoretical statistics and applied mathematics with advanced set of programming skills; project management experience handling large data sets –
sampling/cleaning, analysing, presenting
• Business Analytics 2017 MSc student at Imperial College aiming to pursue career in data science
• Background in theoretical statistics and applied mathematics with advanced set of programming skills; project management experience handling large data sets –
sampling/cleaning, analysing, presenting
• Business Analytics 2017 MSc student at Imperial College aiming to pursue career in data science
Skills
algorithms
mathematics/statistics
modelling
python
r
analysis
sql
statistician
Data Scientist
I am passionate about Analytics and using statistical techniques to create a data driven organisation. I am familiar with most statistical techniques including Linear and Logistic Regression, CHAID, Clustering, Neural Networks, Association Models as well as NLP for text analysis. I can bridges the gap between the technology, statistics and business. He is also passionate about the value of Social Media data and its value in better understanding of customers.
I have architected and developed SaaS predictive solutions for marketing, experienced in working in an Agile environment and product development.
Skills: R, SQL, SPSS, Tableau
2 of the last organisations I have worked for have been in the Times Tech Track 100 (Black Swan 2017, Portal 2012)
I have architected and developed SaaS predictive solutions for marketing, experienced in working in an Agile environment and product development.
Skills: R, SQL, SPSS, Tableau
2 of the last organisations I have worked for have been in the Times Tech Track 100 (Black Swan 2017, Portal 2012)
Skills
r
spss
sql
big-data
machine-learning
marketing-data
nosql
tableau
Lead Data Scientist Consultant
I am a data science and analytics consultant with more than 10 years of experience in extracting insights from big and small data sets, identifying data-driven solutions for business problems and driving business growth.
I have led projects on cutting edge data analytics problems with Facebook, Government bodies, Insights Centre and multiple international startups in Internet, Advertising, Retail, eRecruitment, PMO, Operations, Hospitality, and Real estates.
Main skills:
- Data Science, Machine learning
- Statistics
- Forecasting
- Text analytics, Text mining and Natural Language Processing
- Business intelligence
- Python, Pandas, Numpy, Scikit-learn
- SQL, Hive, Presto
- MySQL, Vertica, Oracle, SQL Server, CSV, JSON
- Data Visualisation: Tableau, Microstrategy
I have led projects on cutting edge data analytics problems with Facebook, Government bodies, Insights Centre and multiple international startups in Internet, Advertising, Retail, eRecruitment, PMO, Operations, Hospitality, and Real estates.
Main skills:
- Data Science, Machine learning
- Statistics
- Forecasting
- Text analytics, Text mining and Natural Language Processing
- Business intelligence
- Python, Pandas, Numpy, Scikit-learn
- SQL, Hive, Presto
- MySQL, Vertica, Oracle, SQL Server, CSV, JSON
- Data Visualisation: Tableau, Microstrategy
Skills
data-science
machine-learning
python
sql
change-management
natural-language-processing
predictive-modeling
statistics
tableau
FAQ
What is a data scientist?
Someone who looks at issues and problems within a business and searches masses of data to find the answers. Their field encompasses everything related to data cleansing, preparation, and analysis. Data science is an umbrella term under which many scientific methods apply.
What is the average rate for a data scientist?
The daily rate is £500-£550 depending on company size, location and candidate experience.
What are the top qualities to look for in a data scientist?
Complex problem-solving skills, strong skills in mathematics, a good understanding of coding, and the ability to assess risk.
Data scientist vs big data developer
Big Data consists of lots of items of Data. Data Science uses statistics to find the meaning hidden within the data to understand what is happening and why, whilst also making predictions about what will happen next.
