Experienced Data Scientist Job at Boeing (Herndon)

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Senior Data Scientist

The Senior Data Scientist is a hands-on technical role responsible for designing...

Location

United Kingdom , Chester

Salary:

70000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on data science and ML experience, with the ability to design end-to-end models, write production-quality code, and make independent modelling and architecture decisions
Advanced Python and SQL, including pandas, scikit-learn, and XGBoost/LightGBM
Experience in at least two of the following: forecasting, segmentation, recommender systems, ranking, or behavioural modelling
Proven delivery of ML projects end to end, from problem framing and exploratory analysis to production deployment
Ability to translate business problems into well-scoped data science solutions, prioritising commercial impact over technical novelty
Strong communicator, able to explain models and insights to non-technical stakeholders across product, commercial, and engineering teams
Experience deploying and maintaining models (monitoring, retraining, MLOps)
Familiar with modern tooling (cloud ML, experiment tracking, feature stores) and scalable engineering practices

Job Responsibility

Build & Deliver Impactful Solution: Design, build, and ship machine learning models that address real commercial problems, taking ownership of the work from initial framing through to a validated solution in production
Work closely with product, commercial, and engineering colleagues to scope problems well, contributing technical input early so the team commits to work that is both feasible and valuable
Translate business challenges into clear data science work, defining scope, success measures, and trade-offs in plain language
Contribute to where data science can add the most value next - pricing, personalisation, forecasting, owner and guest experience, and bring strong ideas to how those problems are approached
Collaborate & Lead Technically: Act as a senior technical contributor, setting a high bar for code quality and modelling rigour to help shape how the team approaches its work
Communicate your work clearly: write up model behaviour and results, present in roadmap and review forums, and keep colleagues informed and confident in what the team is delivering
Mentor less experienced data scientists through code review, pairing, and technical guidance, and act as a trusted point of contact for product, engineering, and commercial colleagues working with the team
Run Reliable Models in Production: Keep the models you build running reliably in production: set up monitoring, alerting, and drift detection, track performance, and manage the retraining cadence that keeps them healthy
Work to and help uphold the team’s standards for code review, model documentation, reproducibility, testing, and deployment, so quality stays consistent across the function
Work with data engineering and platform teams on MLOps tooling and infrastructure, and help respond to incidents affecting live models

What we offer

Annual bonus scheme based on company performance
33 days’ holiday (including bank holidays), plus up to 5 extra with long service
Option to purchase extra holiday days if you wish
A day off for your birthday
2 volunteering days per year
Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay)
Pension scheme with employer contributions
Discounted and last-minute stays at Forest Holidays and Sykes Cottages for you, your friends & family
Special offers and discounts designed to enhance your overall wellbeing
Health cash plan & life assurance

Fulltime

Senior Data Scientist

We are currently seeking a Senior Data Scientist to join our team in Chennai, Ta...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience supporting data science projects in a consulting environment
7+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
7+ years of experience using Python and/or R to analyze disparate datasets
Must have ability to both drive development as an individual developer as well as oversee more junior developers

Job Responsibility

Driving new data insights to uncover business opportunities & revenue streams
Have a firm understanding of statistics and data visualization for communication
Have an understanding of business growth areas & how to utilize important data
Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions
Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable
Be experienced in Data Wrangling and Dynamic Model Tuning
Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders

Fulltime

Sr. Data Scientist, Product Insights

At Catawiki, every day brings the extraordinary! We are looking for a Senior Dat...

Location

Portugal , Lisbon

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

6+ years of experience in data science or analytics, ideally in an online company
Highly proficient in SQL and experienced in Python, R, or another language
Deep statistical expertise including regression analysis, causal inference, time series modeling, and hypothesis testing
Experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM)
Hands-on experience designing and evaluating A/B tests and other experiments
Strong communicator and mentor

Job Responsibility

Own analytics for a broad product area
Turn data into insights and recommendations
Drive advanced product analytics at scale (including GenAI)

What we offer

€100 Catavoucher when you join
€50 Catavoucher on your birthday
An extra day off each year to 'Pursue Your Passion'
Additional leave for key work anniversaries and important life events

Fulltime

Motor Data Scientist

In this role, you’ll contribute to the development of data-driven solutions that...

Location

United Kingdom , Norwich; London

Salary:

Not provided

Direct Line Group

Expiration Date

Until further notice

Requirements

Experience using SQL and Python for data analysis
Previous experience, or a demonstrable interest, in applying data science techniques to large datasets
Strong analytical and problem-solving skills, with the ability to interpret data and generate insights
Good communication and stakeholder skills, with the ability to explain technical work clearly
Ability to work collaboratively as part of a wider team and contribute to shared outcomes
A numerate degree in Mathematics, Statistics, or a related subject

Job Responsibility

Analysing large datasets using tools such as SQL, Python, and Radar to support pricing and underwriting decisions
Supporting the development of data assets and models, contributing to improved risk assessment and pricing accuracy
Producing clear insights and analysis, and communicating findings to both technical and non-technical stakeholders
Collaborating with Retail Pricing and Platform teams to support the release of platform and pricing changes
Contributing to experiments and analysis, helping to test ideas and quantify their potential impact (with guidance from more senior colleagues)
Supporting the delivery of projects, working with more experienced team members to ensure high-quality and timely outcomes

What we offer

Employer-contributed pension
Annual company bonus
Discounts on insurance products
Generous holiday allowance
Flexible benefits package, including optional health and dental insurance
Buy-as-you-earn share scheme
Employee discounts and cashback
Plus many more

Fulltime

Data Scientist

The Data Scientist role at NTT DATA involves leveraging data science and machine...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4+ years of experience supporting data science projects in a consulting environment
4+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
3+ years of experience using Python and/or R to analyze disparate datasets
Ability to travel at least 25%

Job Responsibility

Driving new data insights to uncover business opportunities & revenue streams
Having a firm understanding of statistics and data visualization for communication
Understanding of business growth areas & how to utilize important data
Being responsible for identifying new analytic trends/data needs and repeatable analytic solutions
Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
Identifying, analyzing and interpreting trends or patterns in complex data sets using various supervised and unsupervised ML algorithms
Being experienced in Data Wrangling and Dynamic Model Tuning
Working on projects leveraging expertise in data science, artificial-intelligence and machine learning
Assisting in breaking down complex business problems, developing solutions, and delivering with high client satisfaction
Conducting market research, developing a point-of-view and communicating effectively back to clients and stakeholders

Fulltime

Manager - Senior Data Scientist

We are seeking an experienced data science professional to play a pivotal role w...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

At least six years of hands-on experience developing analytical models using large-scale datasets in a commercial, consumer, or digital environment
Proficient in Python and PySpark, with end-to-end experience from problem definition through to production deployment
Strong grounding in statistical learning and machine learning techniques, including regression, tree-based models, clustering, NLP, deep learning, and reinforcement learning
Experienced with modern machine learning libraries such as scikit-learn, MLlib, TensorFlow, PyTorch, H2O, and R
Knowledgeable in data warehousing and big data technologies, including SQL, NoSQL, Spark, and related ecosystems
Familiar with experimentation, A/B testing, and developing analytical reports and insights

Job Responsibility

Analyse large volumes of structured and unstructured data to test hypotheses, uncover patterns, and deliver actionable business insights
Design, develop, validate, and deploy machine learning models that support predictive and prescriptive decision-making
Build and maintain data visualisation dashboards to communicate insights clearly to a wide range of stakeholders
Collaborate with data engineers, analysts, and business stakeholders to translate business problems into scalable analytical solutions
Contribute to and help shape the global analytics community, ensuring continuous improvement and adoption of leading-edge analytical techniques

What we offer

The opportunity to work on high-impact, real-world business problems using advanced analytics and AI
Exposure to a global analytics community and collaboration with diverse stakeholders across Vodafone
A role that supports continuous learning, experimentation, and innovation in data science

Senior Data Scientist

As a (Senior) Data Scientist, you will play a key role in advancing core areas o...

Location

Germany , Düsseldorf

Salary:

Not provided

StepStone

Expiration Date

Until further notice

Requirements

Master's degree in Data Science, Mathematics, Computer Science or a related field
5+ years of experience in data science, business analytics, or AI integration, with at least 2 years in a role requiring strong communication and stakeholder management
hands-on experience with LLM fine-tuning and modern NLP frameworks
Proficiency in Python, SQL and familiarity with AWS SageMaker, Docker, and Airflow
Experienced in ML Engineering solutions (ML Ops tools), integrating models into enterprise systems
Strong ability to translate technical concepts into business language, to manage change and to drive adoption of AI solutions, balancing technical constraints with business priorities
Commitment to ethical and fair AI practices that ensure equitable outcomes for all users
Ability to working with C-suite, product managers, engineers, and operational teams

Job Responsibility

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives
Ensure stakeholders understand the value of AI-driven insights and leverage this knowledge to prioritize initiatives strategically
Lead the development lifecycle of machine learning and AI solutions in Marketing, from problem formulation and data exploration to model development, evaluation, and deployment
Keep abreast of advancements in AI/ML technologies and apply cutting-edge techniques where appropriate
Be an active member of our community: Collaborate with Data Science teams across the org to design intuitive interfaces and workflows for AI-driven recommendations and automation
Contribute to hackathons, training, and peer-to-peer knowledge exchange within the global data science community

What we offer

30 days of holidays + 2 extra days for Christmas and New Year's Eve
Hybrid working model
Company pension scheme
24/7 Employee Assistance Programme
Life Assurance Cover
Volunteering days
Job bike
Discounted parking or job ticket
In-house gym
In-house barista

Fulltime

Data Scientist

We are seeking an individual with strong big data and advanced AI/ML capability ...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Passionate about learning and applying modern data practices and tooling across on-prem and cloud environments (AWS preferred)
Experienced in building diagnostic systems using causal models and decision theory, with the ability to productise solutions for reuse
Able to deliver predictive, prescriptive and real-time AI solutions, including Next Best Action outcomes
Experienced in building intelligent autonomous systems that learn continuously and improve precision through feedback loops
Confident applying deep learning methods (CNNs, RNNs, MLPs) and working with leading ML/DL libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, statsmodels, Theano, XGBoost)

Job Responsibility

Demonstrate passion and a learning mindset to adopt new data practices and tools across ingestion, transformation, governance, and security & privacy, working across on-prem and cloud environments (AWS preferred)
Influence and contribute to innovative approaches that unlock value from companywide and external data
Design and build diagnostic systems using decision theory and causal models (including probability, DAG, ADMG, deterministic SME approaches, and related techniques) to predict the effects of actions and improve insight-led decision-making
Productise diagnostic systems so they can be reused at scale
Build robust predictive and prescriptive analytics solutions across AI disciplines (ML, DL, NLP, ES, RL) with scalability and real-time performance in mind
Determine Next Best Action outcomes using prescriptive analytics methods
Drive intelligent autonomous system utility by creating stable learning environments and improving precision over time
Build autonomous cognitive systems that prescribe proactive actions based on ML predictions and actively solicit feedback from support functions with minimal human involvement
Apply deep learning approaches across CNNs, RNNs and MLPs, and use modern ML/DL libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, statsmodels, Theano and XGBoost

What we offer

Opportunities to work on both on-prem and cloud (AWS preferred) data and AI solutions, spanning ingestion, governance, security and privacy practices
The chance to build reusable diagnostic and prescriptive systems that enable insight-led decision-making and proactive operations
A role with scope to shape innovative approaches to unlocking value from companywide and external data

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Experienced Data Scientist

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