Looking for new employees, particularly in the data science space, can become a time-consuming task. Most companies are looking for specific skills in their next data-based hire; however, it can feel impossible to find someone with every skill you might need.

Without the right knowledge or research, your organization might end up investing time, money and energy into a traditional hiring process — without much to show for it. You might spend weeks, sometimes longer, conducting interviews and reviewing dozens of candidates. When one or more candidates are finally hired, you’ll have to meet their salary requirements, benefits package, and any other bonuses, equity, or compensation required to onboard them.

Today, many of the best data-driven companies are choosing to hire apprentices >over> traditional data employees, to help businesses subsidize their workforce.

What is a data science apprenticeship program?

Data science apprenticeships are paid educational programs that combine learning with real-world data experience. They allow aspiring data science professionals to learn fundamental data science skills without enduring a traditional degree program. Apprenticeships are certified to ensure they meet industry standards, meaning that apprentices can use their skill sets for any company which hires them to fulfill data science requirements.

Some employers will confuse apprenticeships with internships, believing apprentices are temporary employees. This is untrue. Apprenticeship programs are not unpaid, unstructured or temporary.

Instead, they help employers:

  • Access pre-trained, diversely talented learners
  • Build a talented, data-heavy workforce
  • Sustain 30-40% cost savings over traditionally-sourced talent
  • Yield higher employee retention rates

Data science apprenticeship programs are created specifically to foster successful, long-term professional relationships between data apprentices and employers. In exchange for a salary and education, the apprentice will usually stay with the company for a set amount of time.

What roles are a best fit for a data science apprentice?

A data science apprentice can potentially fulfill a wide variety of data-related positions, many of which pay more than six figures per year. Reference some of the best positions fulfilled by data science apprentices below.

Data scientist

Data scientists help organizations analyze complex data sets, to identify trends that can help companies grow. You’ll help collect and interpret information, often using algorithms or software programs to help draw conclusions from complicated data structures.

Average Salary: >$147,000

Main responsibilities:

  • Collect data across a variety of touchpoints
  • Cleanse data sets
  • Develop and deploy data analysis algorithms
  • Connect with stakeholders to deliver new data-driven insights
  • Work with marketing and data team members to fulfill data science process

These and other responsibilities should keep data scientists busy on a daily basis, diving into data sets to derive actionable conclusions.

In order to properly fulfill a role as a data scientist, apprentices depend on a variety of data-based skills. These skills often include:

  • Data visualization
  • Programming
  • Statistical analysis
  • Deep learning
  • Machine learning

Data scientists also rely on various soft skills, including interpersonal communication and problem-solving capabilities, on a daily basis.

Data architect

Data architects help companies map how data flows through various systems. As a data architect, you might provide a blueprint for correct data management, and define the technologies for collecting and assessing company information.

Average Salary: >$135,800

Apprentices who become data architects will likely need to grow familiar with the following skills:

  • Mathematics and statistics
  • Data visualization and data migration
  • Database and cloud networking
  • Data modeling
  • Data analysis and synthesis

These and other skills give data architects the tools they need to keep programs up and running.

Data architects are kept busy on a daily basis by a wide variety of job responsibilities. These can include:

  • Designing an organizational enterprise data framework
  • Creating policies that define data migration
  • Implementing technologies that streamline data flow
  • Familiarizing team members with data management best practices

These skills will allow apprentices to address employers’ ongoing data-related needs.

Data engineer

Today, data engineers deploy a number of strategies that help assess a company’s collected raw data. As a data engineer, you might help prepare data for analysis, or identify high-level strategies that govern how data is to be mined across an organization.

Average Salary: >$119,600

The main responsibilities of a data engineer include the following duties:

  • Assess a company’s collected raw data
  • Discern trends in a company’s collected data
  • Outline data audit strategies across an organization
  • Prepare data for analysis

In addition to the above tasks, data engineers are often also responsible for training a company’s employees in data assessment best practices. They might help one or more organizational teams collect or interpret data before that information ever reaches a member of the data team.

To accomplish all of these duties, apprentices will rely on the following skills:

  • Data transformation
  • Data mining
  • Data warehousing
  • Machine learning

An optimal toolkit for data engineers often includes data collection, cleansing and analysis, which helps organizations take full control of the internal and external data they mine.

Why hire an apprentice for your data science positions?

Data science professionals hold key roles in your organization. Today, low employee retention rates and high salaries are causing my organizations to consider appendices for key data science roles.

Here are a few reasons to consider hiring a data science apprentice for your next available role.

Lower costs

On average, data science apprentices cost between 30-40% less than a professional employee would. They also come with a full arsenal of skills employers rely on due to the academic training program and hands-on learning modules they’ve utilized through an educational program like Pace. This reduction in costs allows employers to hire several apprentices if necessary, transferring them to different departments or office branches once apprentices graduate from their programs.

Higher employee retention

Employees hired through an apprentice program are much more likely to >stay with their company> than those who are hired from another company. In fact, 80% of companies who utilize apprentices report an increase in staff retention. Furthermore, industries with high turnover rates are more likely to see their apprentices stay on. This is likely due to most apprentices looking to stay with the companies responsible for their industry experience, rather than starting over at a new employer.

Better corporate productivity

One of the most surprising aspects of hiring an apprentice for many companies is how much >apprentices can boost morale.> This is due to apprentices needing a supportive, educational environment in order to thrive. Once this courtesy is extended to apprentices, many employees and managers become education-focused, working to create an inclusive environment for everyone in the company.

Finally, an apprentice’s enthusiasm cannot be underestimated; many coworkers enjoy working with someone who cares so much about their job.

Ongoing training

One of the benefits of working with a data science apprentice is the ongoing training. Although all apprentice partnerships are different, Pace offers continued education for apprentices for a year after they complete their coursework. This means apprentices will continuously learn from highly qualified educators in addition to the training they are receiving on the job. This focus on training makes apprentices extremely qualified to work for anyone in the industry due to the heavy emphasis on hands-on learning combined with stringent academic work.

Rich data science network

We support college graduates, but it is important to realize what you get with a new graduate versus an apprentice. New graduates are fresh out of college and expected to make their way in the world without tech networks to help them learn how to solve a problem. This leads to many feeling overwhelmed as they frantically try to excel at their new job while building up a network. Apprentices come to a job with a full tech network at their disposal, allowing them to easily find solutions and fix something themselves.

Grow into the employee you need

One of the biggest benefits of an apprentice is their ability to grow into what you need. Data science apprentices are frequently molded to become leaders in a company, and they get to become exactly what you need them to be. This ability to create the right employee for your company is one of the biggest benefits for employers. You’ll no longer need to worry about someone learning how your company works after spending years for a competitor, nor will you have to start from scratch with a recent grad and their limited experience. Instead, you get the best of both worlds. An experienced employee you can mold to last at your company for years to come.

Choosing to hire a data science apprentice for your tech roles may be one of the best decisions you make for your company. Tech apprentices can fill roles like cloud administrators and cybersecurity engineers, while costing a fraction of what more seasoned experts demand. By partnering with the right tech apprenticeship program, you can subsidize your workforce with diverse talent that’s eager to work and knows the ins and outs of the ever-changing tech landscape.

Improve your efficiency while gaining an employee for life when you hire a data science apprentice.

Want to learn more about our apprentice program? Eager to see who we have waiting in the wings to fulfill a role at your company? Contact us today to learn more about our apprentice program.