Junior Data Scientist

CMSPI; Manchester; Hybrid; GBP 30,000 - 50,000; Full time

Job description

JOB ROLE: Junior Data Scientist

LOCATION: Manchester Office - Hybrid working model, with at least 2 in-office days per week.

REPORTING TO: VP of Data

Please note CMSPI does not hold a U.K. Sponsor Licence and is therefore unable to sponsor anyone without residency or settled status.

The world of payments is going through the most thrilling transformation imaginable. Volumes are growing, payment options are expanding, and complexity is intensifying. Retailers are at the epicentre of these changes, and it is CMSPI’s mission to revolutionise payments for merchants and retailers worldwide. We are a hyper-growth company and the go-to payments advisor for Global 500 merchants, driving big cost savings, huge sales growth, and enhanced strategies.

As a Junior Data Scientist at CMSPI, you will play an integral part of a cross-functional team focused on enhancing and developing features for our cutting-edge payments intelligence platform. Your work will involve preparing and analysing datasets, developing mathematical and machine learning models, and creating compelling visualisations that translate complex insights into actionable recommendations.

This is an exciting opportunity for an early-career Data Science enthusiast to enhance their technical expertise, collaborate with engineers, product owners and stakeholders and contribute directly to impactful analytics and predictive modelling in a fast-paced environment.

The key focus areas of the role include:

• Prepare, clean, and structure data for model development.
• Investigate patterns, trends, and anomalies in payments data.
• Build and improve machine learning algorithms under guidance from the Lead Data Scientist.
• Present findings through clear, informative visualisations.
• Write and optimise SQL queries to manage and manipulate data.
• Collaborate with colleagues across the business to address objectives using your problem solving skills and share innovative approaches.
• Research and refine new and out of the box ways to find solutions with the team.
• Document processes and methodologies to facilitate team-wide learning.
• Communicate results to both technical and non-technical audiences.
• Stay curious and proactive in developing new skills, exploring current methodologies and technologies in data science and analytics.

You are a great match if you have the following...

Essential skills:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Strong understanding of probability, statistics, and linear algebra.
• Proficiency in Python, including libraries such as scikit-learn, pandas, seaborn, and matplotlib.
• Experience writing and optimising SQL queries for data retrieval and manipulation.
• Ability to communicate complex insights in a simple and effective manner.
• Detail-oriented with a strong desire to learn and grow within the data science domain.
• A portfolio of Data Science projects showcasing your ability to solve a problem with innovative ideas or examples of coding challenges or competitions.

Highly desirable skills:

• Familiarity with Agile practices in a collaborative team environment.
• Exposure to big data tools, such as Hadoop and Spark for handling large-scale datasets.
• Experience with cloud platforms like Microsoft Azure.

Benefits:

• Comprehensive, payments industry training by in-house and industry experts.
• Excellent performance-based earning opportunity, including OKR-driven bonuses.
• Future opportunity for equity, rewarded to high performers.
• Personal and professional learning opportunities and growth experiences aligned with your career aspirations.
• Quarterly values award for all employees – with a financial prize.
• Monthly Reimbursement of commuting costs.
• Regular companywide socials and team building events.
• 22 vacation days + U.K. public holidays and discretionary office closure during Christmas.
• Competitive Pension plan, Vitality healthcare cover (after 6-months) and Cycle to work scheme.