Data Scientist

InPost Ltd.; London Colney; Hybrid; GBP 40,000 - 80,000

Job description

Want to be part of a hyper growth, fast paced, global business that is radically changing the decades old delivery universe as we know it? If so, read on, as we’re looking for a Data Scientist to join our International Tech team!

Our mission? To switch up the status quo and become the UK’s leading out-of-home business. With a fast-growing network of thousands of smart lockers, hundreds of leading retail partners and the launch of our InPost collection points, we’re bringing freedom to anyone with a parcel.

Our team is packed full of top-notch experts in e-commerce, technology, scale-up growth, sustainability, logistics and supply-chain. We’re a passionate bunch and expectations are high, but we’re team players – collaborating, supporting, and leaving egos at the door.

About the role:

We are seeking a talented and passionate Data Scientist to join our dynamic team. In this role, you will leverage advanced analytical techniques and machine learning models to extract actionable insights from our complex data sets, driving strategic decision-making and operational excellence. You will collaborate closely with cross-functional teams to develop innovative solutions that enhance our logistics operations, improve efficiency, and elevate the customer experience.

What you’ll be doing:

• Partner with our product and business teams to understand their needs, translate them into data science solutions, and provide actionable insights.
• Develop and implement advanced data science solutions (including ML models, AI products, optimization frameworks, etc.).
• Collaborate closely with cross-functional teams to ensure seamless integration of data-driven initiatives.
• Stay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI.
• Communicate insights and recommendations to the management and business teams, and other data community members.

What we need from you:

• Bachelor’s, Master’s or PhD degree in a relevant field, e.g. data science, computer science, mathematics, statistics, econometrics, physics, engineering or similar.
• Working experience using data science methods. Strong technical and/or research background is a plus.
• Data-driven, goal-oriented and proactive, skilled in change and time management, business-conscious, able to think long-term and decompose business problems.
• Excellent knowledge of ML solutions and their impact on business, user experience and operational processes (supervised and unsupervised learning, e.g.: clustering, recommender systems, regression, classification, linear programming, reinforcement learning, time series, geospatial analysis, etc.).
• Proficiency in Python, as well as ML and data analysis libraries: data transformation (pandas, polars, pyspark), gradient boosting & deep learning frameworks, scikit-learn, etc.
• Knowledge and experience in relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake).
• Experience in writing well-structured code: functions, classes, modules.
• Knowledge of best practices regarding writing readable code, technical reviews and maintainability.
• Languages – you are proficient in English (other European languages knowledge is a plus).

Nice to have:

• Experience applying data science methods at scale or building models used in production by large number of users.
• Specialized knowledge in some of these areas: logistics, operation research, forecasting, spatial data science, graph methods, product analytics or marketing data science.
• Proficiency in testing code.
• Knowledge of ML Ops and experience with data pipelines framework, preferably Kedro.
• Experience of creating ML models used in production, knowledge of SRE principles.
• Experience with CLI tools: bash/zsh, docker.
• Experience in leveraging CI/CD pipelines in data-based products.

Perks of the job:

We love to reward our people for the great work they do:

• Enhanced Annual Leave – 26 Days Plus the Option to Buy Additional Days per year: More time for you to relax, explore, and enjoy life.
• Vitality Health Care: Stay healthy and happy with our top-notch health coverage.
• Work from Anywhere – 4 Weeks per year: Embrace the freedom to work remotely abroad for up to 4 weeks per year, allowing you to explore new horizons while staying connected.
• Enhanced Parental Leave: We support you during those precious family moments.
• Rail Loan: Commute with ease! Purchase an annual season ticket, expense it through our InPost expenses procedure, and enjoy a more affordable interest-free repayment over the year.
• Volunteering Days: Take a paid day to make a difference in your community.
• Hybrid Working (Role suitability dependent): We innovate, collaborate and optimise by coming together 3 days per week in the office.
• Bring Your Dog to Work Day (Every Friday): Make every Friday pawsitively amazing!

The InPost process:

We pride ourselves on our candidate experience. We want to make this as straightforward as possible, for you and for us! We will try our best to get back to you within a few days to let you know if we’d like to take you to the first stage. This normally involves a 20 minute chat with our Talent Team. If we both feel the connection, you’ll then go through another one or two stages, depending on the level of the role.

At InPost, we love uniqueness. Our strength is our people.

We strive to create an open, equal, inclusive environment in which everyone has the opportunity to flourish and be themselves.