Data Scientist Job at Social Value Portal Ltd (City of London)

New

Data Scientist

We are a global biopharmaceutical company focused on human health. Our purpose i...

Location

France , Paris

Salary:

42400.00 - 56533.33 EUR / Year

Sanofi

Expiration Date

August 04, 2026

Requirements

Over 3 years of experience of handling data science projects in varied business contexts, with experience in healthcare being a strong plus
Experience in developing deployable models and AI solutions
Demonstrated ability to perform exploratory data analysis and create visualizations
Experience in production-ready software development
Strong curiosity and eagerness to learn new concepts and technologies
Good communication skills, both written and verbal
Problem-solving ability and analytical thinking
Attention to detail in data handling and analysis
Ability to contribute to a diverse and inclusive team environment
Willingness to ask questions and seek guidance when needed

Job Responsibility

Gather relevant data from various sources, and perform relevant analysis to propose and implement relevant data models for each business case
Apply statistical methods and machine learning techniques to extract insights from datasets
Design, implement and fine-tune AI/ML models using various algorithms and tools
Presenting findings through clear and informative charts, graphs, and dashboards
Support senior team members in understanding business teams requirements, and translate them into technical needs
Staying updated with the latest trends, tools, and techniques in the field of data science

What we offer

Fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results
Quality health insurance
Extended maternity/parental leave (18/14 weeks)
Enhanced support in case of illness
Teleconsultation and second medical opinion covered by Sanofi
31 days of paid leave + RTT depending on your status
Remote work up to 2 days/week
Public transport coverage up to 80%
Group Savings Plan and PERCOL with employer matching
PERO

Fulltime

New

Data Scientist

Create scalable data pipelines using Glue, Eventbridge, DynamoDB to process life...

Location

United States , Greensboro

Salary:

Not provided

Wise Equation Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, computer information systems, information technology, relevant engineering (computer engineering, software engineering, electronic engineering or related) or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Job Responsibility

Create scalable data pipelines using Glue, Eventbridge, DynamoDB to process life insurance data and support data modeling for policy records, claims, actuarial datasets
Write and optimize ETL and reconciliation workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
Build and implement event-driven data solutions on AWS, leveraging SQS, SNS, and API integrations to enable real-time processing of insurance transactions and policy events
Implement snowflake data masking and row level security policies to ensure sensitive policyholder and beneficiary data are protected
Create Splunk data pipelines and PowerBI dashboards to ingest, index and analyze structured and unstructured life insurance data including policy transactions, claims events enabling real-time operational monitoring
Build flow zones and manifest file generator in Dataiku to develop data processing logic that meets life insurance business and regulatory requirements
Write and optimize ETL workflows using data-oriented programming languages such as PySpark and Python to extract and transform raw policyholder data and support machine learning model development by preparing high-quality, analytics-ready datasets for reporting and decision-making
Write SQL queries and stored procedures in Amazon redshift to support life insurance reporting, premium reconciliation, and claim analytics and implement optimized data modeling techniques for analytical workloads
Develop end-to-end data workflows in Dataiku, integrating multiple sources to extract and analyze life insurance data such as policy administration systems, claims databases and actuarial feeds for business insights
Write and optimize Delta Lake table implementations in Databricks to support efficient storage, ACID transactions, and time travel queries on life insurance datasets

Fulltime

New

Data Scientist

As part of our Client’s high-performing AI Innovation team, you’ll help design, ...

Location

United States , New York

Salary:

200000.00 - 225000.00 USD / Year

Solomon Page

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
2+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development
Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation
Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production
Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems
Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design
Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity
Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions
Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions
Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications

Job Responsibility

Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs
Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows
Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case
Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic
Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling
Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance
Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines
Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies
Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring
Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient

Fulltime

New

Data Scientist

At myPOS, we’re all about helping businesses grow and get paid. We make payments...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

3–5 years of hands-on applied data science, machine learning or statistical modelling experience in a commercial setting, with models shipped and measured in production
Strong proficiency in Python for data science: pandas, numpy, scikit-learn, XGBoost / LightGBM, and at least one deep learning framework (PyTorch or TensorFlow)
Solid grounding in supervised and unsupervised learning: classification, regression, clustering, survival analysis, and time-series modelling
Demonstrable experience building at least one of: CLTV, churn, fraud detection, propensity, or uplift models in a production environment
Comfort working with large-scale structured and semi-structured data
proficient in SQL and cloud data warehouses - GCP and BigQuery strongly preferred
Familiarity with ML experiment tracking platforms (MLflow, Weights & Biases) and model serving patterns (REST APIs, batch inference pipelines)
Working knowledge of LLM APIs (OpenAI, Anthropic, etc.) and at least one agentic AI framework (LangChain, LlamaIndex, AutoGen, or similar)
Understanding of responsible AI: fairness assessment, model explainability methods (SHAP, LIME), bias detection and mitigation strategies
Clear communication — able to distil statistical findings into actionable insights for both technical peers and business stakeholders

Job Responsibility

Build and maintain ML models across the core portfolio: CLTV, churn prediction, propensity to buy, and Next Most Likely Product (NMLP)
Develop fraud detection models including transaction-level classifiers, merchant behaviour anomaly detectors, and new-account risk scorers
Contribute scored model outputs to the Next Best Action (NBA) decisioning layer that selects the optimal action for each merchant across Sales, Marketing, and in-product touchpoints
Support A/B experiments, uplift tests, and multi-armed bandit evaluations to measure the incremental impact of model-driven interventions
Design and implement end-to-end ML pipelines — from data ingestion and feature engineering through to model training, evaluation, and deployment
Monitor deployed models in production: detect performance degradation, data drift, and data quality issues
iterate and document changes proactively
Collaborate with business teams across Sales, Marketing, Risk, Operations, and Product to translate business problems into well-defined data science solutions
Run rigorous experiments and communicate findings clearly to both technical and non-technical stakeholders
Contribute to LLM-powered agentic workflows using tool-use patterns (RAG, function calling, memory) and frameworks such as LangChain or LlamaIndex

What we offer

Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses
Meal vouchers of 102.26 EUR per month
Fully covered Multisport card
Fully covered public transport pass for Sofia
Free coffee, snacks and drinks at the office
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning

Fulltime

New

Data Scientist

Amazon Japan is seeking a Data Scientist to join our Cost-to-Serve Intelligence ...

Location

Japan , Tokyo

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving

Job Responsibility

Design and execute quantitative studies that explain why cost-to-serve moves — isolating root causes from noise and quantifying improvement opportunities
Bridge science to business decisions: translate statistical findings into investment recommendations, opportunity sizing, and initiative prioritization that leadership can act on
Partner cross-functionally with operations, finance, supply chain, and product teams to define research questions, validate findings, and ensure insights drive real-world action
Own the full research lifecycle — from problem framing and data exploration through methodology design, analysis, and stakeholder-ready deliverables
Apply a range of scientific methods (econometrics, statistical modeling, machine learning, AI-assisted analysis) matched to the problem at hand
Communicate findings effectively to both technical and non-technical audiences through structured documents, presentations, and data visualizations
Continuously improve the team's analytical toolkit — introducing new methods, automating repetitive analysis, and raising the bar on scientific rigor

Fulltime

New

Data Scientist

Lead the design, development, and deployment of custom machine learning models a...

Location

New Zealand , Auckland CBD

Salary:

Not provided

Randstad

Expiration Date

July 25, 2026

Requirements

Advanced Python and SQL capability alongside statistical modeling expertise (regressions, clustering)
Practical experience with cloud data warehouses such as BigQuery or Snowflake
Familiarity with Claude workflows to accelerate data pipeline development
Tertiary degree in Mathematics, Computer Science, or a related quantitative discipline
Strong grasp of version control, package management, and cross-functional team collaboration

Job Responsibility

Design and Implement: Build custom data models, algorithms, and analytics applications for commercial product deployment
Engage Stakeholders: Partner with internal delivery teams and external clients to understand complex problems and engineer fit-for-purpose solutions
Optimize Pipelines: Utilize GenAI workflows (Claude) to accelerate pipeline development and architecture scaling
Monitor Performance: Establish structured tools and processes to track model accuracy and data integrity
Tell Data Stories: Present complex analysis and modeling outputs to diverse audiences in a clear, accessible manner

Fulltime

New

Data Scientist

Proven to Perform. From the edges of space to the bottoms of ocean, our material...

Location

United States , Cudahy

Salary:

Not provided

ATI

Expiration Date

Until further notice

Requirements

B.S. degree in computer science, engineering with a strong statistical and programming background
Experience in deep learning, predictive modeling, data mining, and time series analysis
Knowledge of image segmentation, generative models, convolutional neural networks
Experience in applied machine learning

Job Responsibility

Map data from multiple sources into new structures
Work with business subject matter experts to determine best solutions
Serve as a subject matter expert in the capabilities of Data Science
Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques
Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data

Fulltime

New

Data Scientist

Altamira Technologies has a long and successful history providing innovative sol...

Location

United States , McLean

Salary:

140000.00 - 230000.00 USD / Year

Altamira Technologies

Expiration Date

Until further notice

Requirements

Knowledge of Defense intelligence all source analysis, Operations research / systems engineering and analysis Intelligence community databases and tools, non-Defense intelligence analysis, structured analytic techniques, and text exploitation and analytics
Expertise in advanced tools such as: Mixed Mathematical Capabilities: R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB
A working knowledge with day-to-day data analysis tools are also necessary, Spreadsheet / Data - Excel s/Power plugins, Tableau, and Document Development-Word, MS Publisher
An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist: Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5
5-10 years of experience or an advanced degree MS / Ph.D.
Three years of experience in the intelligence community
TS/SCI with FSP clearance

Job Responsibility

Responsible for overall data science and data characterization technologies and will report to the on-site program manager
Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
Results must be documented in writing and communicated both verbally and through multi-media methods to senior management

Fulltime

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