Hire your Freelance Data Science Consultant in 48 hours

Our M&A staffing platform connects the world’s top Data Science specialists to projects that need execution, now. Choose from 2,000+ consultants in 43 countries.
No upfront costs.
Freelance Data Science Consultants
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Access our network of tier-1 Data Science consultants

• Available
Freelance Data Science Consultant
Founder at Masel
13 years experience | Manager | Milan, Metropolitan City of Milan, Italy
• Available
Freelance Data Science Consultant
M&A Director
22 years experience | Senior | Paris, France
• Available
Freelance Data Science Consultant
PE/VC Investment Adviser
8 years experience | Manager | Belgrade, Serbia
• Available
Freelance Data Science Consultant
Interim Project Manager M&A and Value Creation
14 years experience | Senior | Frankfurt, Germany
• Available
Freelance Data Science Consultant
Senior Expert
7 years experience | Senior | Hamburg, Germany
• Available
Freelance Data Science Consultant
Private Equity | Venture Capital | M&A
15 years experience | Senior | Frankfurt am Main, Germany

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Guide to hiring the right Data Science consultant

What does a Data Science consultant do? And how can you find the right one? Learn more in our hiring guide for Data Science consultants.

How our M&A staffing platform works

Process of finding a Data Science consultant

Create your project brief

Sign up and create a short brief for your project in 2 minutes. We will use this brief to invite the right professionals for the job. Posting the project is free!

Receive your shortlist

We will shortlist a selection of 3-6 candidates for your project within 48 hours or less.

Interview & chat

You can directly contact your shortlisted candidates, invite them for interviews, and agree on project details.

Looking for a more specific Data Science skillset?

Frequently asked questions

Our Data Science consultants work with clients in 40+ countries. Our clients are Corporate Development divisions, Private Equity backed companies, and fast-growing ventures.

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 Data Science consultants have extensive experience in Data Science. Most of them have buy-side, sell-side M&A, or Private Equity experience.

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.

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.

We operate world-wide and have clients in North America, Europe, APAC, and MENA.

Pricing depends on seniority, location, and project duration. For our pricing structure, please refer to our Pricing page.

Hiring guide to find the perfect Data Science consultant

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!

Fintalent is your specialized M&A and Strategy talent partner

Get matched with highly targeted freelancers for your M&A project needs, or leverage our talent community to find your next full-time hire.

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Permanent Hiring

We help you find your next permanent hire in Corporate Development, M&A, and Strategy positions. Leverage our specialization via Executive Direct Search.

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