Salary for data scientist

Average salary

3900 £

Basic salary 1500 £
Maximum Wage 7000 £
1500 £
Lowest
4250 £
Average
7000 £
Highest

data scientist - How much money do you make working at this position?

The average salary for the data scientist position is 3900 £

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Companies with the highest earnings in position Data scientist
20000 £
15000 £
13000 £
VENTULA CONSULTING
Based on 3 job offers
 12667 £
PLEXUS
Based on 2 job offers
 12500 $
EXPEDIA GROUP
Based on 7 job offers
 11458 £
10000 £
10000 £
10000 £
10000 £

Salary in companies

WOWCHER 20000 £
1500 £ 20000 £
INTELLIGENT RESOURCE 15000 £
1500 £ 20000 £
BRIDGE OF HOPE FOUNDATION 13000 £
1500 £ 20000 £
VENTULA CONSULTING 12667 £
1500 £ 20000 £
PLEXUS 12500 $
1500 £ 20000 £
EXPEDIA GROUP 11458 £
1500 £ 20000 £
IDENTIFY SOLUTIONS 10000 £
1500 £ 20000 £
VENN GROUP 10000 £
1500 £ 20000 £
ALTEN TECHNOLOGY UK 10000 £
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INSPIRE YOUNG PEOPLE 10000 £
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Comment on the job position of data scientist

Requirements

  • A degree in mathematics or statistics
  • advanced experience with machine learning and programming
  • experience using data visualization tools
  • proficient in writing algorithms and knowing when to apply them
  • excellent communication skills and ability to understand commercial implications of data
  • independent, structured, and precise work ethic
  • experience within e-Commerce preferrable but not mandatory
  • 3+ years of industry experience
  • advanced degree in Mathematics or Statistics or similar quantitative field
  • programming experience including SQL, plus one other of R, Python, SAS
  • proven analytical and problem solving skills, and attention to detail
  • A good understanding of, and experience with, a range of statistical techniques would be beneficial
  • strong communication skills, being able to explain complex analytical findings to a variety of audiences
  • dash-boarding tool experience
  • strong hands-on experience of Data Science principles and practices
  • experience with database environments and data set manipulation
  • knowledge of programming languages, particularly SQL, R, Python or similar
  • experience in financial services or other regulartary environment
  • analyse
  • analytical

Responsibility

  • ability to clean and validate data to ensure uniformity and accuracy
  • use combined knowledge of computer science, modelling, statistics, and analytics to create new personalisation algorithms and optimise existing ones
  • use strong commercial expertise, and mine vast amounts of data, for useful insights and trends to enhance B2B proposition
  • understand the phases of a consumer’s lifecycle, identifying opportunities where we can increase their LTV and engagement
  • developing interactive dashboards that visualise real-time data & trends
  • building scalable machine learning pipelines and using engineering and optimisation methods to improve data set performance
  • understand economic problems of games or products and define it in a data driven way
  • analyse data and design experiments to optimize DAOs' economics and decision-making process
  • bring analytical prototypes to production through cooperation with engineering
  • take part in product strategy sessions
  • analysing raw data
  • designing and running experiments in their simulation infrastructure to optimize companies economics and decision-making process
  • researching economic and product problems in the Web3 gaming landscape
  • creating data visualizations that advise protocols on risk and capital efficiency management
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  • data Scientist III, Product Analytics
  • carrying out weekly analytics of core performance metrics with a focus on understanding the drivers of conversion
  • identifying opportunities to leverage advanced analytics methods to develop a deeper understanding of performance for example through increased segmentation of metrics
  • understanding the interaction of key metrics and their relationship with strategic and performance goals

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