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A Day in the Life of a Data Science and Machine Learning Talent Consultant at Eden Smith Group

A talent consultant's day begins with a team meeting to "swap ideas and plan new approaches," followed by catching up on overnight communications and conducting research on data science and recruitment trends. The remainder of the workday involves candidate calls offering advice and client meetings to discuss market conditions and generate new business.

Networking, Communication, Recruitment, Market Research, Client Relations

Advizer Information

Name

Job Title

Company

Undergrad

Grad Programs

Majors

Industries

Job Functions

Traits

Raven McMenemie

Talent Consultant - Data Science & ML

Eden Smith Group

None

N/A

General Studies / Not Applicable

Recruitment, HR & Related Professional Services, Technology

Data and Analytics

None Applicable

Video Highlights

1. Works from home and starts the day with a team meeting to discuss successes, challenges, and plan new approaches.

2. Spends a significant portion of the day researching current topics in data science and recruitment, engaging with their network on LinkedIn to gather diverse perspectives.

3. Conducts candidate calls, provides career advice, and meets with clients to discuss market conditions and explore new business opportunities.

Transcript

What does a day in the life of a talent consultant look like?

I'm very fortunate that I'm able to work from home. My day starts with a 9:00 AM meeting with the rest of the Eden Smith team. This is a really great way for us to talk about the previous day's successes and challenges, swap ideas, and make plans for new approaches to new things and events that we're planning.

It's great because it's across recruitment consultancy and education as well. We're able to get an insight into everybody's day, and it's a really great way to set the day up. From there, I work US hours. Normally, I have a lot of emails and LinkedIn messages that come in overnight that I'll catch up on, go through, and start replying to and booking calls.

The middle part of my day is a lot of research on current topics, whether that's in data science or recruitment. I then pose questions and topics, and post discussions with my network, primarily on LinkedIn. I love getting other people's opinions and views on certain parts.

The rest of my day will be candidate calls in line with jobs, but also providing them with advice and learning a lot from them. I also host meetings with our clients to discuss the current state of the market and bring on new business.

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