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Data Science Consultancy

It is argued that faster variations create weaker situations and therefore justify a need for external help. In that sense, consultants use their knowledge, skills, and experience to provide objective advice, expertise, and specialist competencies that their clients need to achieve their objectives. In executing the assignment, a consultant examines a client’s strategy, structure, management, and operations to identify options that the client may adopt to achieve various objectives and to put forward recommendations on how specific desired results may most efficiently be achieved.

Uncountable organizations are currently on the road to becoming data-driven and are desperate for help from industry experts to help them remain competitive in the market. On the other hand, the majority of high-level managers of well-performing companies are now making almost all their important decisions using data-driven methods and analytics tools. Evidently, decision-making is now largely driven by data as both large and small firms have bowed to using various data science tools to automate their daily operations and generate actionable recommendations. However, some companies don’t have the capacity of hiring a data scientist, which makes them have no other option than to get the services of a consultant. In this article, we examine what Data Science consultancy entails.

The purpose of Data Science Consultancy

The consulting business’s major purpose is to provide external and qualified services to both small local businesses and large global corporations. These businesses follow planned roadmaps for their growth, usually by effectively managing their costs with the aim of increasing their revenues. For these objectives to be met, they must adopt Big Data and Artificial Intelligence Technologies in all the different zones of their business. The majority of these businesses are not necessarily technology companies with a large data science team. Therefore, they need to outsource data science development cases to consulting companies within long- or short-term arrangements.

These engagements between a consultant and his clients are in the form of short- and long-term projects that can last from months to up to several years.

Services offered by Data Science Consultants

The specific duties of a data science consultant depend on the client’s needs and their area of specialty. While some consultants work as part of a consultation team for established organizations, others work as freelancers or have their own independent consulting firms. Below are the three services performed by Data Science professionals:

1. Strategy development and verification

Data science consultants use data to determine possible outcomes that help businesses develop plans for how to conduct their operations to meet their objectives. Verifying a strategy involves finalizing a business strategy by determining its expected effectiveness. Consultants monitor how business strategies are working to meet the business’s objectives, and they run programs that help them predict the long-term effectiveness of those strategies. At Predictive Analytics Lab our strategy development and verification services include:

  • Advise organizations about big data strategy, its implementation, and technologies that best fit their needs and even implement the selected big data solution.
  • Designing and maintaining data systems, websites, and databases; including fixing coding errors and other data-related problems.
  • Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either humans or machines.
  • Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Analyzing data-related system integration opportunities and challenges in order to propose appropriate solutions.
  • Developing and documenting data model elements according to established standards and guidelines.
  • Guiding System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces.
  • Reviewing the development of software systems, using scientific analysis and mathematical models, to predict and measure outcomes and consequences.
  • Designing Data Science Interview questions and or interviewing the Data Science Candidates depending on the organization’s requirement.
  • Advertising and shortlisting job opportunities for Data Science Professionals. To support this, we have a platform for jobs, consulting gigs, and tenders in the 4th Industrial Revolution-related technologies and careers. After registering at one will be able to receive notifications on emerging opportunities.

2. Modeling and development:

A data science consultant may design or build modeling tools that are customized to serve a business’s unique needs. At Predictive Analytics Lab, we provide software development for clients who want to apply smarter solutions to their business problems. Together we open up new Artificial intelligence opportunities that can – in a very real way – change the future. Some of these services include:

  • Implementing recommendation systems for products used in e-commerce, finance, banking, media, and other industries. This helps organizations to segment their customers and be able to know which products are preferred by customers.
  • With the help of neural networks and machine learning technologies, we can train a system to identify people and objects in images and build high-value applications.
  • Design a system for fraud detection that performs analytics and delivers risk scores in real-time, with great accuracy.
  • Use statistical modeling and Machine learning techniques to design softwares that can analyze past data to predict future outcomes.
  • Develop softwares that can help businesses understand the market trend and monitor the movement of their staff. For instance, we have developed a Business Intelligence System that provides businesses with the benefits of unlocking patterns and trends that help them understand their markets. After downloading the App, one can take a photo, enter the details, then post and wait for it to reflect here.

Read Using Predictive Analytics Business App To Drive Post – COVID-19 Business Sales

3. Training:

Data science consultants offer training to those interested in venturing into the data science field. They also train the clients and their teams to improve their data literacy and involve them as they improve business systems. Predictive Analytics Lab, is a National Industrial Training Authority (NITA) certified training Centre for Data Science registration number NITA/TRN/1672 and offers training on Technical, Industry, and Professional verticals. Some of the courses include Business Analytics & Data Science, Intermediate Data Science, Advanced-Data Science, Human Resource Analytics, Marketing Analytics, Cyber Security, Geographical Information Systems, Finance Analytics, Banking Analytics among others.

To support training, Predictive Analytics Lab has an Online Resource Platform that gives the learners a lifelong learning opportunity to re-engineer their career and business to be adaptive to the demands of the 4th industrial revolution. After signing up to the platform, learners will access electronic books, journals, case studies, newsletters, glossary, KPIs, and watch documentaries.

Read Mathematics as The Start Point of a Data Scientist’s Journey

Data Science consultancy job requirements

1. Technical skills: Data science consultants require a foundation of technical skills to work in their field. These include coding languages, an understanding of analytics, databases, and data management, and understanding how to work with and develop their own models and algorithms. One should consider enrolling in a  Data Science Certification Course, to acquire these skills.

2. Business management fundamentals: These skills help the consultants to work with business owners effectively and to manage their own consulting firms. Enrolling in a business course will be an effective way to learn how to manage finances, taxes, and payroll.

3. Develop interpersonal skills: Good interpersonal skills like active listening, communication, teamwork, and leadership helps consultants to work effectively with clients. They work directly with them to design tools that help business owners collect, manage and analyze strategic data. They will also use these skills to explain the results of their analyses and to develop performance plans. A consultant may also train their client’s team to use tools and interpret numerical information.

4. Industry experience: This is important for data science consultants because clients prefer to work with consultants who have established credibility through the success of their work. To gain this experience, one can consider:

  • Conducting workshops for business owners – An opportunity to explain the fundamentals of data science to business owners and describe the benefits of hiring a data science consultant.
  • Finding a professional mentor- to help in deciding the steps to take to improve career referrals to clients or working directly with them on their projects.
  • Search for referrals- having a contact at a large consultancy may help one to connect with clients searching for someone to assist them with projects.

5. Build your network: Building a network may help one to find clients and maintain relationships with professionals in their field of contact. This may include consistent clients, potential clients, other data science consultants, and other experts in related fields.

6. Create a professional online presence: This is helpful for those consultants seeking new clients or hoping to maintain their brand. This can be done by keeping a digital portfolio that showcases current or completed projects as this makes it easy for potential clients to see examples of their work, know what services they provide, and find their contact details. Social media platforms can also help you connect with other professionals in your field, maintain contacts and make it easier for potential clients to discover your work.

7. Attend industry events: One should consider attending industry events like data science meetups, lab guests, bootcamps and conferences. Attendees of such events may consist of other data science consultants, industry specialists, and non-experts who may be looking to connect with field professionals. Again, such events help in discovering new tools and techniques to use in your work.

Who is fit to be a Data Science Consultant

Consulting is a good career path for data scientists who are eager to handle a wide range of project experience in diverse industries. Working in the consulting industry is usually a great option to build up knowledge of business in various domains for data scientists who get to work in many different projects with large clients. These projects enable one to understand the mindset of business decision-makers and the high-level management of big companies looking for data science solutions.

What to expect as a Data Science Consultant

Just like any normal company, the consulting firms have their own culture as well. The workload is often rigorous which requires an agile & result-oriented work style to be able to deliver the values on time. Again, the data consulting work involves a lot of briefing meetings with many different clients which may involve a lot of traveling beyond borders. The business trips can take up to several weeks meaning that the consultants may be away from home for the better part of their career life.

Another point worth noting is that there is always high competition both within the company and externally with other consultancy firms. One should therefore be prepared for some corporate politics and rivalry as well.

The key to success in this type of career is basically going with the right expectations to the consulting companies. You have to be sure of the cost you are paying and what you are gaining as a data science consultant.

Why Data Science Consultancy is the finest job

Working in the consulting industry helps one better understand and gain hands-on experience on diverse business procedures. Data Science consulting gives a unique chance to experience many different organizations’ functional areas and work with different clients side-by-side. Consultants work on projects where fresh ideas are needed, where there is a team and a network of great talents and experts. They, therefore, end up gaining extraordinary knowledge in diverse fields.

Additionally, while working in consulting, one has a unique opportunity to find the area that interests them the most. They will also learn the needs of the industry in the market making it easier for one to choose their future specialization based not only on personal preferences but also on the market demand in their particular region.

All in All

Data Science consultancy can be one of the most significant steps towards success in your career. The very nature of it nurtures your creative, tactical, and entrepreneurial thinking. It also provides great responsibilities and allows you to diversify your knowledge and industry experience. Above all, a consultant’s actions have a direct and measurable impact on the organization or entity that they work for.

As a data science consultant, one gets to work on projects with successful companies, learn from the best experts, and also get the benefits of working with large consulting firms that offer uncountable opportunities of growing one’s career and skills.

However, one should always keep in mind that all of these benefits don’t come automatically. They come at the price of certification in Data Science and an intensive workload in a high-pressure environment. If you are equipped for all of this, then what are you waiting for? The time to start your tangible and real career journey is now!

As opportunities within Data Science continue to expand, many professionals are considering independent data science consultant roles.

At Predictive Analytics Lab, we focus on helping you build the foundational Business Analytics and Data Science Skills that are essential to success in any type of Data science and business analyst role.

For any inquiries, you can drop us an email at or call +254725349693


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