Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a global food and nutrition leader as a Senior Data Scientist, analyzing data to enhance manager experiences.
- Company: Work with a globally recognized organization focused on talent management and career development.
- Benefits: Enjoy remote work flexibility with an option to meet in the office once a month.
- Why this job: Make a real impact by leveraging data insights to drive organizational success and improve productivity.
- Qualifications: Proven experience in data science, statistical modeling, and proficiency in SQL and big data platforms required.
- Other info: We value diversity and encourage all qualified candidates to apply.
The predicted salary is between 36000 - 60000 £ per year.
Duration: 6-month contract position
Rate: inside IR35
Hours: 37.5 hours per week.
Location: Remote, option to go into the office once a month
About the Role:
This exciting opportunity with one of our clients who is a globally recognised name within food and nutrition is for a Senior Data Scientist to join the Talent Management Center of Excellence (COE) at a leading global organization. The COE is dedicated to attracting and retaining top talent, focusing on career development, performance management, leadership development, and manager capability. This role will significantly impact organizational success by leveraging data insights to enhance the manager experience and overall productivity.
Key Responsibilities:
-
Data Collection and Processing: Gather, clean, validate, and prepare data from diverse sources including surveys, focus groups, reports, databases, and feedback platforms for in-depth analysis.
-
Data Analysis: Employ advanced statistical methods and data visualization to interpret data, uncover trends, and create actionable insights. Lead the development of analytical approaches, collaborating with data engineers, business leaders, and developers to build robust, scalable, and easily interpretable data models.
-
Reporting and Visualization: Create clear, concise reports and dashboards utilizing tools like Power BI, REACT, or Excel. Work collaboratively with the Talent Marketplace adoption manager to refine and optimize existing reports.
-
Collaboration: Partner closely with cross-functional teams (Segment Talent, P&O Business Partners, MGS reporting, Culture COE) to understand their data requirements and deliver impactful, data-driven solutions. Actively participate in projects focused on improving manager satisfaction and engagement.
-
Communication: Effectively communicate data findings, analytic approaches, and their implications to business partners. Advocate for data-driven decision-making and clearly explain complex analysis.
-
Process Improvement: Analyze processes and identify areas for optimization based on data insights to improve manager experience.
-
Data System Management: Maintain data integrity, ensure efficient data systems operations, and leverage your understanding of data architecture to build innovative features combining both internal and external data sources.
-
Predictive Analysis: Utilize predictive modeling techniques to anticipate future trends and recommend data-driven strategies to guide HR initiatives.
Qualifications:
Experience:
-
Proven experience in a data science role or comparable experience.
-
Expertise in statistical modeling (e.g., significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) using tools such as Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka.
-
Proven experience querying databases using SQL and Hive.
-
Hands-on experience working with large datasets using big data platforms like Hadoop ecosystem (Azure), and in-memory solutions (SAP HANA and Apache Spark).
-
Proficient in data visualization tools such as Tableau, Power BI, D3, or ggplot.
Skills: Data Science, Algorithms, Data Analysis, NLP, Statistics, Data Visualization, Project Management, Planning & Organizing, Document Preparation
Competencies: Ensures Accountability, Plans and Aligns, Action-Oriented, Tech Savvy, Business Insight, Optimizes Work Processes, Cultivates Innovation, Drives Engagement, Manages Complexity, Situational Adaptability
DE&I
We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.
#J-18808-Ljbffr
Data Scientist employer: Randstad Sourceright
Contact Detail:
Randstad Sourceright Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as Power BI, SQL, and Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Showcase your ability to work collaboratively by preparing examples of past projects where you partnered with cross-functional teams. Highlight how your contributions led to impactful, data-driven solutions.
✨Tip Number 3
Brush up on your statistical modeling skills, especially in techniques like regression and predictive modeling. Being able to discuss these methods in detail during an interview will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've used data insights to drive process improvements in previous roles. This aligns perfectly with the responsibilities of enhancing manager experience and productivity outlined in the job description.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and qualifications required for the Data Scientist position, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience in data science roles. Be specific about your expertise in statistical modeling and the tools you've used, such as Python, R, or SQL.
Showcase Your Skills: Make sure to highlight your skills in data visualization and analysis. Mention any relevant projects where you've utilized tools like Power BI or Tableau to create impactful reports.
Communicate Effectively: In your application, demonstrate your ability to communicate complex data findings clearly. Use examples from your past experiences where you successfully conveyed data insights to stakeholders.
How to prepare for a job interview at Randstad Sourceright
✨Showcase Your Data Skills
Be prepared to discuss your experience with statistical modeling and data analysis. Highlight specific projects where you've used tools like Python, R, or SQL to solve complex problems.
✨Prepare for Technical Questions
Expect questions that test your knowledge of data science concepts and techniques. Brush up on predictive modeling, data visualization, and big data platforms to demonstrate your expertise.
✨Communicate Clearly
Practice explaining your analytical approaches and findings in a way that's easy to understand. Use examples from past experiences to illustrate how your insights have driven decision-making.
✨Collaborative Mindset
Emphasize your ability to work with cross-functional teams. Share examples of how you've partnered with others to deliver impactful data-driven solutions and improve processes.
