Workforce Data Science Specialist

Company:Mercer

Description:

Workforce Data Science Specialist

Location: Warsaw

Employment Type: Full-time

About the Role

Are you passionate about transforming data into actionable insights that drive meaningful change? We are looking for a Workforce Data Science Specialist to join our growing team and lead the way in developing innovative workforce analytics solutions. This role will focus on leveraging advanced statistical and machine learning techniques to analyze complex workforce data, delivering valuable insights that empower HR and business leaders to make evidence-based decisions.

Key Responsibilities

• Model Development & Analytics:

  • Create and implement advanced modeling techniques to predict workforce trends (e.g., employee turnover, performance).

  • Test, document, and scale repeatable data-driven solutions tailored to business challenges.
     

• Problem Solving:

  • Understand complex business problems and design analytical approaches to address them effectively.

  • Utilize innovative methodologies to unlock insights from workforce data, including machine learning and large language models (LLMs).
     

• Insight Communication:

  • Translate complex data analyses into clear, actionable recommendations for both technical and non-technical audiences.

  • Collaborate with HR and business leaders to align data insights with organizational goals.
     

• Technical Expertise:

  • Employ a variety of advanced statistical, data mining, and visualization techniques to deliver impactful insights.

  • Identify and implement best-fit tools, including Python, TensorFlow, SQL, PyTorch, and other modern programming languages.

What You Need to Succeed

• Experience:

  • 3-5 years in data science, analytics, or a related field, with a focus on workforce or HR data being a strong advantage.

  • Proven expertise in statistical modeling, machine learning, and data visualization.
     

• Technical Skills:

  • Proficiency in Python (e.g., NumPy, TensorFlow, PyTorch) and SQL.

  • Experience with advanced analytics tools and techniques, such as natural language processing (NLP) and predictive modeling.
     

• Soft Skills:

  • Strong problem-solving and critical-thinking abilities.

  • Excellent communication skills to present insights to diverse audiences.

  • Self-starter with the ability to work independently and take initiative in a fast-paced environment.
     

• Education:

  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Data Science).

  • A Master’s degree or equivalent experience is preferred but not required.

What Makes You Stand Out:

• Familiarity with workforce or HR analytics methodologies.

• Demonstrated experience building machine learning models and developing actionable business insights.

• Ability to visualize complex datasets in ways that resonate with stakeholders.

Why Join Us?

• Be part of a forward-thinking team that’s reshaping workforce analytics.

• Gain exposure to innovative projects and cutting-edge technologies.

• Collaborate with experts in a dynamic, inclusive environment.

• Opportunities for personal and professional growth in an agile, startup-like culture.

If you are a data science professional eager to make an impact by unlocking the potential of workforce data, we would love to hear from you.

Apply today and transform insights into action!

Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X.Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.