Digital Technology Data Scientist Lead Job at Carex Consulting Group (Oshkosh)

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

We are seeking a seasoned and self-organizing Senior Data Scientist to join our ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

BSc or MSc in Data Science, Engineering or a related field
Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization)
Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
Experience building scalable solutions that go beyond one-off analyses
People management experience of at least one year
Great communication skills and the ability to engage with both technical and business stakeholders
Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable
Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development
Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated
Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic

Job Responsibility

Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments
Act as a technical lead, guiding other data scientists while remaining hands-on in solution design and delivery
Own the end-to-end lifecycle of data science solutions, from problem definition to deployment and continuous improvement
Collaborate with cross-functional teams to translate analytical outputs into measurable business impact, influencing commercial decisions
Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications
Deliver scalable, maintainable solutions that support customer and business needs
Have opportunities for professional training and certifications as well as mentorship

What we offer

Development opportunities
Work with iconic brands
Supportive team

Fulltime

Senior Data Scientist

As part of Microsoft AI, we run Microsoft’s unified monetization platform across...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in related field AND 3+ years data-science experience OR Bachelor's Degree in related field AND 5+ years data-science experience OR equivalent experience
5+ years of professional experience using analytics to solve product or business problems in data science, applied research, or related roles
3+ years of experience in the digital advertising, e-commerce, marketplace, or online platform industry
Demonstrated track record of driving measurable business impact through data science initiatives
Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Experience with cloud platforms (Azure preferred) and big data technologies
Solid understanding of statistical modeling, predictive analytics, and experimentation design
Excellent communication and stakeholder management skills
Proficient English communication oral or in written

Job Responsibility

Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection
Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities
Design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations
Lead experimentation and A/B testing programs to evaluate pricing, matching, and prediction models, driving performance improvements
Develop scalable data products, pipelines, and automated reporting systems to support analytics and machine learning initiatives
Build self-service dashboards and tools that enable cross-functional teams to make data-informed decisions
Partner with stakeholders to translate business needs into actionable insights, influence product strategy, and present recommendations to senior leadership

Fulltime

Senior Data Scientist - Smart Charging

We are looking for a Senior Data Scientist with a background in Python-based mod...

Location

United Kingdom , London

Salary:

Not provided

Zenobē

Expiration Date

Until further notice

Requirements

STEM degree (e.g. engineering, applied physics, data science)
4+ years of relevant professional experience working in modelling, simulation, analytics and optimisation preferably in an EV or energy-adjacent domain
5+ years’ experience with Python (pandas, scipy, plotly, scikit-learn, and other scientific / data libraries) and it’s developer tooling (e.g. uv, ruff, mypy)
A pragmatic approach to problem solving, follower of the 80/20 rule balancing outcome with effort and comfortable working with imperfect real-world data
Solid SDLC and collaborative software practices including GIT for version control, testing, CICD, environment management etc. Ability to mentor others on advanced use of Python.
Technical background with good understanding of the underlying physical principles related to electric vehicles and the energy sector
Familiarity with energy markets, tariffs, grid services and commercial aspects of the energy sector
Confidence in working with autonomy, spearheading areas of technical development and representing our technical expertise both internally and externally
Demonstrable leadership in the planning and delivery of projects, accountability to senior stakeholders and line management of team members
A working knowledge of data engineering and cloud platform concepts

Job Responsibility

Leading development of our charging strategy optimisation pipeline: writing python code for data processing, physics-based simulation, commercial optimisation and data insight.
Diving into the operational, commercial and technical details of EV charging sites to tailor our modelling and optimisation pipelines to each customer and geography across our global portfolio, adapting to local constraints and opportunities in each case.
Managing the roll out of smart charging across our international portfolio and in partnership with business development and customer success colleagues, you’ll use data and expert insight to highlight the value of smart charging to customers and help resolve operational concerns
Work with large fleet and charging datasets to train machine-learning models for predicting vehicle energy consumption or correlate physics-based models for virtual recreation of charging operations as a digital twin simulation.
Testing and cloud-deployment of code whilst ensuring alignment of ways of working with other technical teams
Pairing with other team members contributing to the smart charging codebase and reviewing pull requests to maintain coding standards.
Strategic planning of the smart charging analytical roadmap, aligning the delivery and dependencies of new features with product managers and balancing customer value delivery with reliability and effort
Management of team members working in the smart charging domain including work planning, reviewing and 1:1s.
Engage with onboarding and operational teams to define data requirements and testing plans in support of model development and correlation (e.g. charging or vehicle energy consumption).
Keep up to date with evolving smart charging opportunities and business cases, and the expanding needs of the business with a growing number of technologies and geographies supported.

What we offer

Up to 33% annual bonus
25 days holiday, increasing with length of service up to 30 days, plus bank holidays
Private Medical Insurance
£1,500 training budget per year
EV Salary Sacrifice Scheme
Pension scheme, up to 8% matched contributions
Enhanced parental leave
Cash back health plan

Data Scientist

Embark on a transformative journey as Assistant Vice President- Data Scientist a...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Experience in Programming & Data Analysis: Python, SQL
Experience in Machine Learning & AI: Generative AI, Agentic AI, NLP, ML algorithms
Cloud Platforms: AWS (Sagemaker, Bedrock, Glue, Lambda, etc.)
Data Engineering: Data wrangling, pipeline development, cloud integration
risk and controls
change and transformation
business acumen
strategic thinking
digital and technology

Job Responsibility

Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
Consult on complex issues

What we offer

modern workspaces, collaborative areas, and state-of-the-art meeting rooms
wellness rooms
on-site cafeterias
fitness centers
tech-equipped workstations
supportive and inclusive culture and environment
flexible working arrangements
hybrid working

Fulltime

Tech Lead, AI Research Scientist (Robotics)

Meta is seeking an AI Research Scientist to join Meta Superintelligence Labs. In...

Location

United States , Menlo Park

Salary:

219000.00 - 301000.00 USD / Year

Lead Software Engineer, Digital Transformation

As our Lead Software Engineer, you will collaborate with and shepherd software e...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor’s/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 7+ years equivalent work experience
3-5 years of experience in developing a variety of software products in a commercial environment
2+ years of experience in building generative AI-based products
Strong Python and Typescript/JavaScript skills required
Expertise in multivariate statistical modelling (e.g., clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and modern machine learning (ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformers architectures, self-supervised learning, and MLOps fundamentals) required
Experience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platform
Experience working in agile methodology is required
Prior experience in leading data science and machine learning based software development projects focused on solving business problems and seizing business opportunities

Job Responsibility

Develop production-ready software solutions that solve real business problems, taking into account business needs and technology/operations landscape
lead interaction with internal stakeholders and technology on specific projects and initiatives
Apply software engineering, data science, machine learning, and AI techniques to derive business value from the full range of internal and external data, leveraging Cloud-based technology
Design solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usability
Translate complex data and methodology into strategic, operationally feasible insights and recommendations
automate implementation
Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in
Identify trends and opportunities to drive innovation, both in what we do and how we do it
evaluate new software engineering, data science, machine learning, and AI technologies and tools that can boost team performance, innovation, and business value
Manage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expert

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Ai Transformation Consultant

Join a company that is pushing the boundaries of what is possible. We are renown...

Location

Belgium , Diegem

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Master’s or Bachelor’s degree in Computer Science, Engineering, Business, or related field
Proven experience (typically 5–10 years) in consulting, digital transformation, or AI/data-related roles
Strong ability to engage with senior stakeholders and lead structured discussions on business challenges
Proven experience in identifying and shaping use cases with clear business value
You already maintain a strong local partner eco-system
Solid understanding of AI/ML concepts, including GenAI and data platforms
Ability to understand technical architecture without being a pure developer
Strong business acumen with the ability to assess ROI and value creation
Experience translating business needs into technical requirements
Good understanding of security and compliance considerations in AI solutions

Job Responsibility

Lead AI use-cases discovery workshops with business and IT stakeholders to identify high-value opportunities aligned with client strategy
Translate business challenges into AI-driven solutions, ensuring feasibility from both a technical and organizational perspective
Define end-to-end AI transformation roadmap, including use cases prioritization, data requirements, sovereignty and architecture considerations, and governance model
Bridge the gap between business stakeholders and technical teams (data scientists, engineers, architects)
Provide guidance on AI solution design, including data pipelines, model lifecycle, integration, and deployment considerations
Be able to technically challenge the proposed solutions of every party
Evaluate ROI, business impact, and feasibility of AI initiatives, supporting business case development and investment decisions
Ensure alignment with ethical AI principles, regulatory requirements (e.g., GDPR, AI Act), and responsible AI practices
Collaborate with security consultants to ensure AI solutions are designed with security and compliance as native components
Collaborate with local teams and global delivery units (e.g., AI factories, centre of excellence) and the ecosystem of local partners to leverage available capabilities and assets

Fulltime

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Digital Technology Data Scientist Lead

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