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Sr. Data Scientist in London
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Job Description
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 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
rience
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
- Location:
- London
- Job Type:
- FullTime
