Sr. Data Scientist

Sr. Data Scientist –Any of the location - London/Manchester/Madrid (1 Position)

Position Purpos

eThe Senior Data Scientist is responsible for designing and developing advanced tools and products that leverage Machine Learning, Data Science, and Generative AI techniques using data sourced from various internal and external platforms. This role focuses on increasing supply chain efficiency, boosting productivity, and delivering measurable value to customers by implementing innovative models, algorithms, and data-driven solutions aligned with business goals

.
Major/Key Accountabiliti

• es
  Design, develop, and deploy machine learning models, algorithms, and advanced analytics solutions to improve supply chain efficiency, productivity, and decision-maki
• ng.Leverage data from multiple internal and external sources to build innovative tools and data products that deliver measurable business val
• ue.Collaborate closely with cross-functional teams including data engineers, product managers, and business stakeholders to align analytics solutions with strategic objectiv
• es.Ensure data quality, model reliability, and performance by validating datasets and monitoring deployed mode
• ls.Lead and mentor junior data scientists and analysts, fostering skill development and best practices within the te
• am.Drive continuous innovation by exploring emerging data science and AI technologies, including generative AI for supply chain applicatio
• ns.Communicate insights, risks, and recommendations effectively to both technical and non-technical stakeholde
• rs.Support prioritization and management of data science workstreams to meet delivery timelines and resource allocati
• on.Contribute to the creation of business cases by quantifying the impact of data science solutions on supply chain KPIs and financial outcom
• es.Focus on data science modelling in close collaboration with the Data Engineering team, which is responsible for data wrangling, clean-up, and transformation to provide high-quality data for analys

is.
Experie

• nce:Proven track record designing, developing, and deploying advanced machine learning and statistical models in complex supply chain environme
• nts.Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modell
• ing.Proficient in programming languages such as Python, R, and SQL for data analysis and model developm
• ent.Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Sp
• ark.Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectiv
• ely.Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modell
• ing.Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric data produ
• cts.Good presentation and communication skills, capable of translating complex analytical concepts to diverse audiences including non-technical stakehold
• ers.Experience mentoring junior data scientists and fostering a culture of continuous innovation and best practice adopt
• ion.Skilled in balancing urgent delivery demands with long-term strategic planning, including supporting business case development and resource prioritizat

ion.Skills & Knowled

• ge :Demonstrable experience with machine learning techniques and algorithms, with a strong track record of deploying models that serve real users at scale without incurring technical d
• ebt.Proficiency in statistical methods and experience following CRISP-DM data science lifecy
• cle.Expertise taking projects from ideation or experimental Jupyter notebooks to full production deploym
• ent.Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-le
• arn.Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building, and code version cont
• rol.Skilled in data pipeline creation and working with both structured and unstructured d
• ata.Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kuberne
• tes.Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakehold
• ers.Ability to mentor and lead a team of data scientists, machine learning engineers, and data engineers, with strategic decision-making capabil

ity.
Essential Qualifica

• tionsDegree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equiv
• alentformal training plus work exper
• ienceBS & 5+ years of work exper
• ienceMS & 4+ years of work exper
• ienceProficient with machine learning and stati
• sticsProficient with Python, deep learning frameworks, Computer Vision,
• SparkHave produced production level algor
• ithmsProficient in researching, developing, synthesizing new algorithms and techn
• iquesExcellent communication s

kills
Desirable Qualific

• ationsMaster's or PhD level
• degree5+ years of work experience in a data scienc
• e roleProficient with cloud computing environments, Kubernetes
• , etc.Familiarity with Data Science software & platforms (e.g. Datab
• ricks)Software development expe
• rienceResearch and new algorithm development expe