Hire your Data Science consultant in 48 hours

Our community connects the world’s top
Data Science specialists to projects that need execution, now. Reliable. Targeted. Fast.
Selected clients and partners
London, UK Strategy, M&A
Manager
2 years experience
  • Data Science
  • Financial Modeling
  • Business Strategy
  • M&A
  • +29
Hire Peter
London, UK Strategy, Private Equity
Senior
15 years experience
  • Data Science
  • Business Strategy
  • Due Diligence
  • Business Transformation
  • +14
Hire Kevin
Berlin, Germany M&A, Venture Capital
Senior
3 years experience
  • Data Science
  • Financial Modeling
  • Business Strategy
  • Corporate Finance
  • +54
Hire Sugandh
New York City Metropolitan Area Strategy
Associate
5 years experience
  • Data Science
  • Financial Modeling
  • Financial Analysis
  • Due Diligence
  • +10
Hire Nicholas
Boston, MA, USA Strategy
Associate
4 years experience
  • Data Science
  • Project Management
  • machine learning
Hire Evan
Singapore Strategy, Private Equity
Manager
6 years experience
  • Data Science
  • Business Strategy
  • Business Development
  • Financial Analysis
  • +19
Hire Edgar
Phoenix, AZ 85021, USA Strategy, M&A
Manager
7 years experience
  • Data Science
  • Business Strategy
  • M&A
  • Due Diligence
  • +7
Hire q
Toronto, ON, Canada Strategy, M&A
Associate
5 years experience
  • Data Science
  • Financial Modeling
  • Business Strategy
  • M&A
  • +7
Hire Braydon

What do Data Science consultants do?

Fintalent’s data science consultants help our clients by combining skills from statistics, computer science, artificial intelligence, and predictive analytics to use data and statistics uncover interesting relationships and make predictions about the future behavior of business variables and relationships.

The world's largest network of Data Science consultants

Fintalent is the invite-only community for top-tier independent M&A consultants and Strategy professionals. Our Fintalents serve clients in North America, LATAM, Europe, MENA, and APAC.

Hire global freelance M&A consultants and Strategy experts with extensive experience in over 2,900 industries. Our platform allows you to build your team of independent M&A advisors and Strategy specialists in 48 hours. Welcome to the future of Mergers & Acquisitions!

Talent with experience at
World Map

Why should you hire Data Science experts with Fintalent?

Trusted Network

Every Fintalent has been vetted manually.

Ready in 48h​​​

Hire efficiently. Your M&A team is ready in 2 days or less.​​​​

Specialized Skills​

Fintalents are best-in-class - and specialized in 2,900+ industries.​

Code of Ethics​​

We guarantee highest integrity and ethical principles.​​​

Frequently asked questions

What clients usually engage your Data Science Consultants?

We work with clients from all over the world. Our clients range from enterprise and corporate clients to companies that are backed by Private Equity or Venture Capital funds. Furthermore, we work directly with Family Offices, Private Equity firms, and Asset Managers. Most of our enterprise clients have dedicated Corporate Development, M&A, and Strategy divisions which are utilizing our pool of Data Science talent to add on-demand and flexible resources, expertise, or staff to their in-house team.

How is Fintalent different?

Fintalent is not a staffing agency. We are a community of best-in-class Data Science professionals, highly specialized within their domains. We have streamlined the process of engaging the best Data Science talent and are able to provide clients with Data Science professionals within 48 hours of first engaging them. We believe that our platform provides more value for Corporates, Ventures, Private Equity and Venture Capital firms, and Family Offices.

Our Hiring Process – What do ‘Community-Approach’ and ‘Invite-to-Apply’ mean?

‘Invite-to-Apply’ is the process by which we shortlist candidates for the majority of projects on our platform. Often, due to the confidential nature of our clients’ projects, we do not release projects to our whole platform but using the matching technology and expertise of our internal team we select candidates who are the best fit for our clients’ needs. This approach also ensures engagement with our community of professionals on the Fintalent platform, and is a benefit both to our clients and independent professionals, as our freelancers have direct access to the roles best suited to their skills and are more likely to take an interest in a project if they have been sought out directly. In addition, if a member of our community is unavailable for a project but knows someone whose skill set perfectly fits the brief, they are able to invite them to apply for the role, utilizing the personal networks of each talent on our platform.

Which skills and expertise do your Fintalents have?

The Fintalents are hand-picked and vetted Data Science professionals, speak over 55 languages, and have professional experience in all geographical markets. Our Data Science consultants’ experience ranges from 3+ years as analysts at top investment banks and Strategy consultancies, to later career C-level executives. The average working experience is 6.9 years and 80% of all Fintalents range from 3-12 years into their careers.

Our Data Science consultants have experience in leading firms as well as interfacing with clients and wider corporate structures and management. What makes our Data Science talent pool stand out is the fact that they have technical backgrounds in over 2,900 industries.

How does the screening and onboarding of your Data Science talent work?

Fintalent.io is an invite-only platform and we believe in the power of referrals and a closed-loop community. Members of our community are able to invite a small number of professionals onto the platform. In addition, our team actively scouts for the best talent who have experience in investment banking or have worked at a global top management consultancy. All of our community-referred talent and scouted talent are subject to a rigorous screening process. As such, over the last 18 months totaling more than 750 hours of onboarding calls, of which only 40% have received an invite-link after the call.

What happens if I am not satisfied with my Data Science consultant’s work?

During your initial engagement with a member of our Fintalent talent pool with no risk. If you are not satisfied with the quality of your hire for any reason then we are able to find a replacement at short notice. There is no minimum commitment per project, but generally projects last at least 5 days and can last 12+ months.

Everything you need to know about Data Science

What is Data Science?

Data science combines many skills from statistics, computer science, artificial intelligence, predictive analytics and much more. The goal of data science is to use data and statistics to uncover interesting relationships and make predictions about the future behavior of a given subject. As observed by Fintalent’s data science consultants, Data scientists examine large data sets, both structured and unstructured, using techniques from math, statistics, computer science and artificial intelligence to find patterns that can be used for predictive analysis.

Why is Data Science Important for Finance?

The finance industry relies heavily on accurate estimates about how people will behave financially in the future. Data science allows financial analysts to estimate the probability of different events occurring, giving them a better understanding of how each decision impacts the overall success of their operations.

How Do Data Scientists Work?

The goal of a data scientist is to discover trends and relationships by analyzing large data sets. Once they have identified those relationships, they can use them to make predictions about future financial events.

What are examples of data science in finance?

There are many different ways that data scientists can use their skills in the financial sector. In order to find the right fit for their job and area of expertise, a data scientist will need to understand the theory behind each type of problem they may face and the tools that can be used for the solution.

What areas does it apply?

The fields of medicine, engineering and business all rely heavily on data science techniques today. Data science is important in many different areas of finance, and it should be considered important in everyone’s life. Understanding how data science works can help you find the right career opportunity for you!

Data science as a whole is still also shifting away from a single goal–machine learning. There are many other sub-disciplines within the field that are all vying for power and influence. As it stands right now, data science can be split up into three general categories: artificial intelligence, machine learning, and business analytics.

As the data science industry continues to grow and evolve, one thing that is certain is that we are all still figuring out exactly what data science really is. As a result, you should never limit yourself to only one sub-discipline within the field. You will gain skills and abilities in every single one of these areas as you grow in your career. As such, it’s not enough to just specialize in a single area–you need to be familiar with all three if you want to succeed!

Looking for a different skillset?

Hire related Fintalents

Case studies

Want to become a Fintalent?

Hire the best Data Science specialists in 2,900+ industries

Fintalent is the invite-only community for top-tier M&A consultants and Strategy talent. Hire global Data Science consultants with extensive experience in over 2,900 industries. Our platform allows you to build your team of independent Data Science specialists in 48 hours. Welcome to the future of Mergers & Acquisitions!