At a Glance
- Tasks: Uncover trends and insights from data to drive business decisions.
- Company: Join a forward-thinking company focused on data-driven excellence.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and impact.
- Why this job: Be part of an exciting journey in modernising data capabilities.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python.
The predicted salary is between 46200 - 46200 £ per year.
Location: Manchester – Hybrid working
Hours: Monday-Friday – 8:45am – 5:15pm
Package: £77,000 OTE
PHMG is embarking on an exciting new phase in its journey, focusing on modernising our data capability and enhancing the way we work. This evolution presents numerous opportunities to leverage data more effectively, allowing us to better serve our customers and colleagues. As part of this growth, we are expanding our team to maximise the value from the wealth of data stored within the organisation. To support this vision, we are seeking a Data Scientist to join the Insights function.
The Data Scientist will play a crucial role in identifying trends, uncovering patterns, and extracting valuable insights from business data. The ideal candidate will have a proven track record of extracting insights from complex datasets. Sound business understanding and problem-solving abilities will also be required. This role is perfect for individuals passionate about applying analytical methods to foster data-driven decision-making. You will harness your analytical prowess to identify new opportunities for enhancing our business capabilities. We invite you to be part of this exciting journey, marking a new chapter of data-driven excellence at PHMG.
The Role: What you will do:
- Perform statistical analysis to uncover new commercial opportunities.
- Develop predictive models to forecast subscription renewals, churn rates, and revenue trends, etc.
- Profile our client base and prospective clients.
- Identify opportunities for upselling, cross-selling, and personalised offers based on customer data.
- Segment the client base into meaningful audiences/profiles.
- Support ad-hoc analysis requests from the business, providing rapid insights for decision-making.
- Collaborate closely with the Data Engineering team to improve data models.
- Present insights and findings to stakeholders in clear, actionable ways.
This is an exciting role for a Data Scientist who has:
- Proven experience as a Data Scientist, ideally within a sales or commercial environment.
- Strong knowledge of data analysis techniques, statistical methods, and machine learning.
- Proficiency in Python, specifically scikit-learn and pandas.
- Experience in using MS Fabric desirable.
- SQL skills would be beneficial.
- Strong analytical and problem-solving abilities.
- A can-do attitude and is a self-starter.
- Comfortable working collaboratively within a cross-functional team.
- Excellent communication skills, with the ability to present complex insights in a simple, clear way.
- Proven track record of using insights to drive business change.
Data Scientist in Salford employer: PHMG
PHMG is an exceptional employer that champions a culture of innovation and collaboration, particularly in the vibrant city of Manchester. With a focus on modernising data capabilities, employees are empowered to leverage their analytical skills in a supportive hybrid working environment, fostering both personal and professional growth. The company offers competitive remuneration, opportunities for meaningful contributions to data-driven decision-making, and a commitment to nurturing talent within a dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Salford
✨Tip Number 1
Network like a pro! Reach out to current employees at PHMG on LinkedIn or attend industry meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis techniques and machine learning knowledge. We want to showcase our skills, so practice explaining complex concepts in simple terms – it’s all about clear communication!
✨Tip Number 3
Showcase your passion for data-driven decision-making. During interviews, share examples of how you’ve used insights to drive business change. We need to demonstrate that we’re not just data crunchers but strategic thinkers too!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our exciting journey at PHMG.
We think you need these skills to ace Data Scientist in Salford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data analysis techniques, statistical methods, and any relevant projects that showcase your skills in Python and SQL. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven decision-making and how you can contribute to our exciting journey at PHMG. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills:In your application, don’t forget to mention specific examples of how you've used data to drive business change. Whether it's through predictive models or uncovering trends, we want to see your analytical prowess in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at PHMG
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python, especially libraries like scikit-learn and pandas. Be ready to discuss how you've used these tools in past projects to extract insights from complex datasets.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical prowess and problem-solving abilities. Think about specific challenges you've faced in previous roles and how you tackled them using data-driven methods.
✨Communicate Clearly
Practice presenting your findings in a straightforward manner. You might be asked to explain complex insights, so focus on how you can make them understandable for stakeholders who may not have a technical background.
✨Collaborate and Engage
Since this role involves working closely with the Data Engineering team, be prepared to discuss how you’ve collaborated in the past. Highlight any cross-functional projects where teamwork led to successful outcomes.
