Best professionals offering data scientist services in Bedford
Get free quotes from professionals.
Oluchukwu Nwosu
Data analyst
Technology / Internet
I am doctorate data analytical scientist with strong background in data mining, data modelling, data visualisation and utilising machine learning algo ...
Hala Elhenawy
BI Consultant
Insurance
Accomplished Data Scientist equipped with a commanding track record. Happy to assume responsibility of assembling and leading teams to drive projects ...
Antonia Hardwick
Doctor of Geoscience
Scientific
Multi-disciplined scientist possessing strong analytical and creative problems solving skills. A 26-year career spanning the upstream energy sector an ...
Constantinos Tsangarides
Data Scientist & ML Specialist | R&D | Innovator
Scientific
Data Scientist with a PhD in Electrical Engineering from the University of Cambridge and 5+ years of experience in machine learning and deep learning ...
Service Description
A data scientist is a professional who collects, analyzes, and interprets complex data to help organizations make informed decisions.
Professional Requirements
To become a data scientist, one typically needs a strong educational background in a field such as mathematics, statistics, computer science, or engineering. Additionally, proficiency in programming languages such as Python or R, as well as experience with machine learning and data visualization tools, is often required.
Recommended Accreditations and Certifications
While not always necessary, having certifications such as the Certified Data Scientist (CDS) or the Certified Analytics Professional (CAP) can demonstrate a level of expertise and commitment to the field.
Tips for Choosing the Best Service Provider
When selecting a data scientist, consider their experience, portfolio, and communication skills. It's also important to ensure they have a good understanding of your organization's specific needs and goals.
Questions to Ask Before Hiring
- What experience do you have with data science projects similar to ours?
- Can you provide examples of your work and results?
- How do you stay up-to-date with the latest trends and advancements in data science?
- Can you explain your methodology and approach to data analysis?
- How will you communicate your findings and recommendations to our team?
Useful References
For more information on data science, consider checking out the following resources:
KDNuggets: A website providing news, articles, and tutorials on data science and machine learning.
DataCamp: An online platform offering interactive courses and tutorials on data science and programming.
Average Prices for Data Science Services in Bedford
The average hourly rate for a data scientist in Bedford is between £50 and £100 per hour, depending on experience and qualifications.
Requesting a Quote for Data Science Services
To request a quote for data science services, you can typically submit a project proposal outlining your needs and requirements. The service provider will then review your proposal and provide a customized quote based on their expertise and the scope of the project.
Fees for Data Science freelancers
The average daily fee for the experienced freelancers is £150.
The fee varies depending on the city in which the are located. For instance, the average daily for a Data Science in London is £200 while in Birmingham is £180 or in Manchester is £220.
data scientist jobs near Bedford
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Lead Data Scientist
1 month ago
Durlston Partners EnglandWe are building a centralised data function supporting quantitative research and development teams.The role focuses on large-scale unstructured and alternative data and applies statistical and machine learning methods. · ...
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Data Scientist
4 weeks ago
Visa Cambridge, EnglandJoin Visa and make an impact with a purpose-driven industry leader. · ...
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Data Scientist
4 weeks ago
Leisure Employment Services Hemel Hempstead HP YL+ Annual salary + bonus and benefits Owning the end-to-end development and deployment of machine learning models and analytical solutions. · Making day-to-day technical decisions on feature engineering, model selection, analytical techniques and data requirements. · ...